CN113593701A

CN113593701A - Health suggestion information processing method, research platform, first terminal and system

Info

Publication number: CN113593701A
Application number: CN202010364513.6A
Authority: CN
Inventors: 郭建华; 陈玉梅; 张晶; 吴莲
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2020-04-30
Filing date: 2020-04-30
Publication date: 2021-11-02
Also published as: WO2021218539A1

Abstract

The embodiment of the application provides a health advice information processing method, a research platform, a first terminal and a system, wherein the method comprises the following steps: receiving a first instruction sent by a first terminal, wherein the first instruction comprises configuration request information of health suggestion information corresponding to a health item; generating a suggestion library software tool development kit of health suggestion information corresponding to the health project according to the configuration request information; sending the data stream of the suggested library software tool development kit to the first terminal; and the data stream of the recommendation library software tool development kit is used for displaying the label of the recommendation library software tool development kit on the interactive application interface of the first terminal. The embodiment of the application solves the problems that the development period of health application programs is long, the process of docking professional medical structures is complicated, and resources are limited.

Description

Health suggestion information processing method, research platform, first terminal and system

Technical Field

The application belongs to the technical field of computers, and particularly relates to a health advice information processing method, a research platform, a first terminal and a system.

Background

With the popularization and development of intelligent electronic devices and the medical research field, health Application programs (APPs) also show a trend of increasing year by year. Currently, important functions of the health-class application APP are embodied in a service that can provide health advice data.

However, the research and development institution of the health APP and the professional medical institution are usually different institutions or fields, and the health advice of the health APP needs to be provided by the professional medical institution; moreover, due to resource limitation, health suggestions provided by some health APPs lack professional knowledge, or only analysis suggestions can be performed on current measurement results, so that the development period of health APPs by research and development institutions is long, and the defects that the medical structure process for docking the profession is complicated, the resources are limited, health suggestion data are incomplete, the accuracy is low and the like exist.

Disclosure of Invention

The application discloses a health advice information processing method, a research platform, a first terminal and a system, which can solve the problems of complicated medical structure process and resource limitation in developing health application program docking specialty and provide more comprehensive, higher-accuracy and more reliable health advice data for users.

In a first aspect, an embodiment of the present application provides a health advice information processing method applied to a research platform, where the method includes receiving a first instruction sent by a first terminal, where the first instruction includes configuration request information of health advice information corresponding to a health item; generating a suggestion library software tool development kit of health suggestion information corresponding to the health project according to the configuration request information; sending the data stream of the suggested library software tool development kit to the first terminal; and the data stream of the recommendation library software tool development kit is used for displaying the label of the recommendation library software tool development kit on the interactive application interface of the first terminal.

According to the embodiment of the application, the research platform stores health suggestion information of health projects, can receive a first instruction sent by a first terminal, generates a suggestion library software tool development kit of the health suggestion information corresponding to the health projects according to configuration request information of the health suggestion information corresponding to the health projects in the first instruction, and sends data streams of the software tool development kit to the first terminal, so that an interactive application interface of the first terminal displays tags of the suggestion library software tool development kit; the health application program development mechanism can directly download the recommendation library software tool development kit according to the label of the interactive application interface display software tool development kit, and integrate the recommendation library SDK kit into the application program of the electronic equipment, so that in the development process of the health application program, the complicated processes of butt joint of the APP development mechanism and the health research mechanism and the like are saved; through the health suggestion data provided by the research platform and the establishment function of the suggestion library SDK package, the suggestion library software tool development package can be generated conveniently and rapidly, the development difficulty of health application programs is reduced, and the development period is shortened; the health suggestion information of the health items stored by the research platform is used for generating a suggestion library software tool development kit of the corresponding health application program, so that more comprehensive and more accurate health suggestions can be provided for the development of the health application program, and the problem of resource limitation is solved.

In combination with the first aspect, in some embodiments, the method comprises: receiving a second instruction sent by the first terminal, wherein the second instruction comprises configuration updating information of the health item; and updating the health suggestion library of the health items according to the configuration updating information.

Through the embodiment, when the health advice information in the health advice library of the health item needs to be adjusted, the research platform can receive the second instruction sent by the first terminal, and update the health advice library of the health item according to the configuration update information of the health item in the second instruction; therefore, the health advice information can be updated timely, and the reliable and real-time requirements of the user on the health advice information are met.

In combination with the first aspect, in some embodiments, the method comprises: receiving the health risk level of the second user sent by the second terminal; the health risk level is a result of evaluating the health basic data of the second user by the second terminal according to the preset health standard data; and searching health suggestion data matched with the health risk level, and pushing the health suggestion data to an application program interactive interface of the second terminal.

Through the embodiment, the research platform receives the health risk level sent by the second terminal, inquires health suggestion data corresponding to the health condition of the second user according to the risk level, and pushes the health suggestion data to the second terminal for the second user to refer to; the health condition of the second user is intelligently and professionally analyzed, and more reliable health suggestion data are provided for the second user.

With reference to the first aspect, in some embodiments, the configuration request information includes tag information corresponding to suggested content of the health item and a rule model, respectively; the recommendation library software tool development kit for generating the health recommendation information corresponding to the health item according to the configuration request information includes: extracting suggestion library contents and suggestion library rules in a health suggestion library corresponding to the health items according to label information respectively corresponding to the suggestion contents and the rule models of the health items; and packaging the content and the rules of the suggestion library in the health suggestion library, generating the development kit of the software tools of the suggestion library of the health project, and recording the version information of the development kit of the software tools of the suggestion library.

In conjunction with the first aspect, in some embodiments, the configuration update information includes suggested content for the health item or a rule model; the updating the health advice base of the health item according to the configuration update information comprises: and updating suggestion library contents in the health suggestion library of the health item according to the suggestion contents of the health item, or updating suggestion library rules in the health suggestion library of the health item according to the rule model of the health item.

In combination with the first aspect, in some embodiments, the method comprises: packaging the health item corresponding to the updated health suggestion library to generate an updated suggestion library software tool development kit, and updating the version information of the suggestion library software tool development kit from a first version to a second version; wherein the second version is higher than the first version; and sending the data stream of the updated development kit of the recommendation library software tool to the first terminal.

In combination with the first aspect, in some embodiments, the method comprises: receiving version query information sent by a second terminal, wherein the version query information is used for querying whether the version of a software tool development kit of the research platform is larger than that of the software tool development kit of the second terminal; and if the version of the software tool development kit of the research platform is larger than that of the second terminal, sending a download path of the software tool development kit of the research platform to the second terminal, wherein the download path is used for instructing the second terminal to download the software tool development kit of the research platform.

Through the implementation mode, when the health suggestion library of the suggestion library software tool development kit of the second terminal is updated, the version of the application program does not need to be upgraded, the time length from the release of the application program to the verification of the application market process is reduced, the development workload is reduced, and the real-time online update of the suggestion library is realized.

With reference to the first aspect, in some embodiments, the searching for health advice data matching the health risk level and pushing the health advice data to an application program interactive interface of the second terminal includes: matching the health risk level with a rule model of an advice library rule in a health advice library of the health item to obtain a health advice level corresponding to the health risk level; and pushing the characteristic health suggestion data or the conventional health suggestion data associated with the historical data in the health suggestion level to an application program interaction interface of the second terminal in combination with the historical data of the second user.

In combination with the first aspect, in some embodiments, the feature health advice data or the general health advice data comprises a plurality of advice, respectively; the pushing of the characteristic health advice data or the conventional health advice data associated with the historical data in the health advice level to the application program interactive interface of the second terminal comprises: and polling and pushing each suggestion to an application program interaction interface of the second terminal according to a preset sequence by using the plurality of suggestions in the characteristic health suggestion data or the plurality of suggestions in the conventional health suggestion data.

Through the implementation, the research platform combines the historical data of the user to match the health risk level with the suggestion library rules in the health suggestion library to obtain the characteristic health suggestion data or the conventional health suggestion data which accord with the health risk level, provides a plurality of pieces of suggestion data for the user in a polling mode, pushes the suggestion data to the application program client side of the second terminal, and provides the suggestion data for the user to refer. The method and the device realize more intelligent and professional analysis of the health data of the user, provide more accurate and reliable health advice data for the user, and improve user experience.

With reference to the first aspect, in some embodiments, before the sending the data stream of the proposed library software tool development kit to the first terminal, further includes: receiving a third instruction sent by the first terminal, wherein the third instruction comprises customized configuration information of health suggestion information corresponding to a health project; and generating a suggestion library software tool development kit of the health suggestion information corresponding to the health project according to the customized configuration information.

In conjunction with the first aspect, in some embodiments, the customized configuration information includes suggested content for a health item and a rule model; the suggestion library software tool development kit for generating the health suggestion information corresponding to the health item according to the customized configuration information comprises: and packaging the recommendation content and the rule model to generate a recommendation library software tool development kit of the health recommendation information corresponding to the health item.

Through the implementation, the research platform further provides a function of generating the suggestion library software tool development kit according to the customized configuration information, the user can upload the health suggestion information to the research platform through the first terminal as required, the research platform generates the suggestion library software tool development kit of the health items required by the user according to the related commands of the customized configuration information, and the applicability and the versatility of the research platform are improved.

For example, the research platform may receive health advice information of a health item sent by the first terminal, where the health advice information includes advice content and a rule model; professional standards of different health projects can be preset in the research platform, the professional standards are used for evaluating the reliability of the health advice information, the matching percentage of the health advice information and the professional standards is obtained by comparing the health advice information with the professional standards, and if the matching percentage exceeds a preset threshold, the health advice information is evaluated to meet the requirements of the professional standards; or after uploading the health advice information, the background of the research platform stores the health advice information into the database according to the content of the advice base and the rule format of the advice base, sets a tag to be checked, and a professional in the field of health research acquires the health advice information with the tag to be checked through a check page provided by the interactive application interface of the first terminal to check the health advice information.

In a second aspect, an embodiment of the present application provides a health advice information processing method, which is applied to a first terminal, and the method includes receiving configuration request information input by a first user, where the configuration request information includes tag information of health advice information corresponding to a health item; sending a first instruction to a research platform according to the label information of the health suggestion information of the health project; the first instruction is used for instructing the research platform to generate a suggestion library software tool development kit of health suggestion information corresponding to the health project according to the configuration request information; and receiving the data stream of the suggested library software tool development kit sent by the research platform, and displaying the data stream of the suggested library software tool development kit as a label of the suggested library software tool development kit on an interactive application interface.

Through the embodiment, the first terminal receives the configuration request information input by the first user, and the first terminal can send the configuration request information to the research platform in the form of instructions, so that the research platform generates the recommendation library software tool development kit of the health project according to the instructions. Therefore, health advice data and an SDK (software development kit) creating function of the advice library can be provided through a research platform, an advice library software tool development kit can be generated conveniently and quickly, the development difficulty of health application programs is reduced, the development period is shortened, and the problems of complicated processes and resource limitation of a medical institution are solved.

In combination with the second aspect, in some embodiments, the method comprises: receiving configuration updating information input by a first user, wherein the configuration updating information comprises health suggestion information corresponding to the health items; sending a second instruction to the research platform according to the health suggestion information corresponding to the health item; wherein the second instructions are to instruct the research platform to update the health advice repository of the health item according to the configuration update information.

Through the embodiment, when the health suggestion information of the health items stored in the research platform needs to be adjusted, the first terminal receives the configuration update information input by the first user, the configuration update information comprises the health suggestion information corresponding to the health items, and the health suggestion information corresponding to the health items comprises suggestion contents or rule models; when the content and the rules of the suggestion library in the health suggestion library of the research platform need to be adjusted, the first terminal sends the received suggestion content and the rule model to the research platform, so that the research platform updates and adjusts the content or the rules of the suggestion library in the health suggestion library of the health items; therefore, the health advice database can be updated in time, and the reliable and real-time requirements of the user on the health advice data are met.

With reference to the second aspect, in some embodiments, the configuration request information includes tag information corresponding to suggested content of the health item and a rule model, respectively; the receiving of the configuration request information input by the first user includes: receiving one or more items of label information corresponding to the suggested content of the health item input by the first user and one or more items of label information corresponding to a rule model.

Through the embodiment, the interactive application interface of the first terminal provides the label information of a plurality of categories corresponding to the suggested content of the health item and the label information of a plurality of categories corresponding to the rule model; according to the needs of the first user, receiving label information selected and input by the first user, and correspondingly selecting and extracting health suggestion information corresponding to the labels in the research platform, so that the requirements of the user on the diversity of the health suggestion information can be met, and the selective and diverse configuration of the suggestion library software tool development kit of the health project can be realized.

With reference to the second aspect, in some embodiments, the sending a first instruction to a research platform according to the tag information of the health advice information of the health item includes: sending a first instruction to the research platform according to one or more items of tag information corresponding to the suggested content of the health project and one or more items of tag information corresponding to a rule model; the first instruction is used for instructing the research platform to extract suggestion library contents and suggestion library rules in a health suggestion library corresponding to the health items according to label information corresponding to suggestion contents and rule models of the health items respectively, and packaging the suggestion library contents and the suggestion library rules in the health suggestion library to generate the suggestion library software tool development kit of the health items.

In combination with the second aspect, in some embodiments, the configuration update information includes suggested content or rule models for health items; the sending a second instruction to the research platform according to the health advice information corresponding to the health item includes: sending the second instruction to the research platform according to the suggested content of the health item or the rule model; wherein the second instructions are configured to instruct the research platform to update the health advice base of the health item according to the advice content or update advice base rules in the health advice base of the health item according to the rule model.

Through the embodiment, when the health advice information in the health advice library of the health item needs to be adjusted, the first terminal sends a second instruction to the research platform, and updates the health advice library of the health item according to the configuration update information of the health item in the second instruction; therefore, the health suggestion library can be updated in time, and the reliable and real-time requirements of users on the health suggestion information are met.

In combination with the second aspect, in some embodiments, the method comprises: after the suggestion library or the suggestion library rules in the health suggestion library of the health project are updated, receiving the data stream of the updated suggestion library software tool development kit sent by the research platform, and displaying the data stream of the updated suggestion library software tool development kit as the label of the updated software tool development kit on the interactive application interface; and the updated software tool development kit is obtained by packaging the health item corresponding to the updated health suggestion library for the research platform.

In combination with the second aspect, in some embodiments, before the receiving the data stream of the proposed library software tool development kit sent by the research platform, the method further includes: receiving customized configuration information input by the first user, wherein the customized configuration information comprises health suggestion information corresponding to the health items; sending a third instruction to the research platform according to the health suggestion information corresponding to the health items; the third instruction is used for instructing the research platform to generate a suggestion library software tool development kit of health suggestion information corresponding to the health project according to the customized configuration information.

In combination with the second aspect, in some embodiments, the customized configuration information includes suggested content and rule models for health items; the sending of a third instruction to the research platform according to the health advice information corresponding to the health item includes: sending the third instruction to the research platform according to the suggested content and rule model of the health project; wherein the third instructions are operable to instruct the research platform to package suggested content and rule models for the health item, generating the suggestion library software tool development kit for the health item.

According to the embodiment, the research platform further provides a function of generating the suggestion library software tool development kit according to the customized configuration information, a user can upload the health suggestion information through the first terminal according to needs, the first terminal sends the health suggestion information to the research platform according to the health items, the contents of the suggestion library and the rules of the suggestion library, the research platform is instructed to generate the suggestion library software tool development kit of the required health items according to the customized configuration information, and the applicability and the versatility of the research platform are improved through the customizability of the first terminal.

In a third aspect, embodiments of the present application provide a research platform, which includes one or more processors, a memory; the memory coupled with the one or more processors, the memory to store computer program code, the computer program code comprising computer instructions; when the one or more processors execute the computer instructions, the research platform is enabled to execute the health advice information processing method provided by the first aspect and any one of the possible embodiments of the first aspect.

In a fourth aspect, an embodiment of the present application provides a first terminal, where the first terminal displays an interactive application interface, and the first terminal includes one or more processors and a memory; the memory coupled with the one or more processors, the memory to store computer program code, the computer program code comprising computer instructions; when the one or more processors execute the computer instructions, the first terminal is caused to execute the health advice information processing method according to any one of the possible embodiments of the second aspect and the second aspect.

In a fifth aspect, embodiments of the present application provide a health advice information processing system, the system comprising one or more processors, a memory, and a transceiver; the memory, the transceiver, and the one or more processors, the memory to store computer program code, the computer program code comprising computer instructions; when the one or more processors execute the computer instructions, the system is caused to perform any one of the first aspect and the first aspect or any one of the possible embodiments of the second aspect and the second aspect to provide the health advice information processing method.

In a sixth aspect, an embodiment of the present application provides a computer-readable storage medium, where a computer program is stored, where the computer program includes instructions, which, when executed on a computer, cause the computer to perform the method for processing health advice information as provided in any one of the first aspect and the first aspect or any one of the possible implementations of the second aspect and the second aspect.

In a seventh aspect, an embodiment of the present application provides a computer program product including instructions, which when run on a computer, causes the computer to execute the method for processing health advice information as provided in any one of the first aspect and the first aspect or any one of the possible implementations of the second aspect and the second aspect.

It will be appreciated that the research platform of the third aspect provided above is for performing the method of any one of the first aspects; the first terminal according to the fourth aspect is configured to perform the method provided in any of the second aspects; the health advice information processing system of the fifth aspect, the computer readable storage medium of the sixth aspect, or the computer program product comprising instructions of the seventh aspect, for performing the method provided in any of the first aspects or the method provided in any of the second aspects. Therefore, the beneficial effects achieved by the method can refer to the beneficial effects in the corresponding method, and are not described herein again.

Drawings

The drawings used in the embodiments of the present application are described below.

Fig. 1 is a schematic diagram of a system architecture to which a health advice information processing method provided in an embodiment of the present application is applied;

FIG. 2 is an interface schematic diagram of a research platform when creating a proposed library software tool development kit according to an embodiment of the present application;

FIG. 3 is a schematic diagram illustrating an implementation flow of a software tool development kit for creating a proposed library according to an embodiment of the present application;

FIG. 4 is another interface schematic diagram of a research platform when creating a proposed library software tool development kit according to an embodiment of the present application;

FIG. 5 is a schematic flow chart of another implementation of creating a proposed library software tool development kit according to an embodiment of the present application;

FIG. 6 is a schematic diagram of the architectural setup of a health advice library provided by an embodiment of the present application;

fig. 7 is a schematic flow chart of an implementation of a health advice data pushing method provided by an embodiment of the present application;

FIG. 8 is a schematic flow chart illustrating an implementation of a health advice data processing method according to an embodiment of the present application;

FIG. 9 is a schematic flow chart of another implementation of a health advice data pushing method provided by an embodiment of the present application;

FIG. 10 is a schematic diagram of an interface for pushing results of health advice data provided by an embodiment of the present application;

FIG. 11 is a schematic interface diagram of a research platform when uploading health advice data, provided by an embodiment of the present application;

FIG. 12 is a schematic flow chart illustrating the update of the health advice library in the research platform database according to the embodiment of the present application;

FIG. 13 is an interactive illustration of a health advice library update provided by an embodiment of the present application;

fig. 14 is a schematic flowchart of a first terminal processing health advice information according to an embodiment of the present application;

fig. 15 is another schematic flow chart of the first terminal processing health advice information according to the embodiment of the present application;

fig. 16 is another schematic flow chart of the first terminal processing health advice information according to the embodiment of the present application;

FIG. 17 is a schematic diagram of a multi-terminal information interaction provided by an embodiment of the present application;

FIG. 18 is a schematic structural diagram of a research platform provided in an embodiment of the present application;

fig. 19 is a schematic structural diagram of a first terminal according to an embodiment of the present application;

fig. 20 is a schematic structural diagram of a second terminal according to an embodiment of the present application.

Detailed Description

The embodiments of the present application will be described below with reference to the drawings. The terminology used in the description of the embodiments herein is for the purpose of describing particular embodiments herein only and is not intended to be limiting of the application.

At present, the medical research field is various, and the application programs of health class are increased sharply; the user can detect and feed back the health suggestion data of the user by installing the health software on the mobile terminal or wearable equipment, and obtain reasonable and reliable health suggestion prompt, so that how to efficiently, professionally and scientifically provide the health suggestion for the user becomes the development key of the health application program. The embodiment of the application provides a health advice information processing method, a research platform, a first terminal and a system, aiming at the problems that the development process of health application programs is complex, and health advice data provided for users is incomplete, low in accuracy and even misleading.

First, an implementation principle and an application scenario of the embodiment of the present application are introduced. The present application provides a research platform for processing and providing advice data relating to the health of a user.

The research platform is an independent software platform system for constructing and supporting the application program, and is the basis for developing and running the application program. The research platform comprises a front end and a background, the front end and the background are directly interacted, and the front end acquires data from the background; the background and the database are directly interacted, and the background acquires data from the database and transmits the data to the front end after a series of logic processing. The front end supports that the data stream of the background is displayed on a browser of the first terminal through an interactive application interface, and a webpage browsed by a user is displayed through the interactive application interface of the first terminal; the background performs logic processing on user data and website data, and deploys the user data and the website data on a server side in a vertical distribution mode based on a service scene, wherein the server side can be a cloud server side; the front end directly interacts with the program of the background to acquire data and display an interactive application interface of the first terminal. The background can receive the request of the front end, take out the data from the database and process according to the corresponding business logic, assemble the data into the format required by the interactive application interface, and send the assembled data stream to the first terminal.

In some embodiments, the front end of the research platform supports an interactive application interface displayed on a browser of the first terminal, and the research platform provides a web portal for the research institution through the first terminal, that is, the interactive application interface of the first terminal is used as the web portal to display a webpage browsed by the user. Research institutions include health application APP development institutions and health research institutions, and the health research institutions can be third-party health medical research institutions or institutions such as hospitals and the like, and can provide professional health advice. The method comprises the steps that a first terminal receives a configuration instruction or an updating instruction input by a research institution, and health suggestion information required by a health application program is generated or updated through data logic processing of a research platform; and storing the health suggestion information to a database of a cloud server through logic processing of a research platform.

It will be appreciated that a database on the research platform stores a health advice base of several categories of health items; the third-party health medical research institution or an institution such as a hospital and the like which can provide professional health advice uploads health advice information to a research platform through a first terminal. The research platform stores the received health advice information as a health advice library of each type of health item according to the item category. The health advice library for each type of health item includes advice library content and advice library rules.

The research platform provides a portal website portal for a research institution through a first terminal; the research platform is provided with a function of configuring a suggestion library software tool development kit through a portal of the interactive application interface of the first terminal, and a function of updating the health suggestion library through the portal of the interactive application interface.

In some embodiments, a first terminal receives configuration request information of a preset project input by a health APP development mechanism through a portal or web portal webPortal of an interactive application interface; the first terminal transmits the configuration request information to a research platform, the research platform obtains a health suggestion library corresponding to the configuration request information in a database according to the configuration request information, packages and packs suggestion library contents in the health suggestion library and suggestion library rules, and generates a suggestion library Software tool Development (SDK) package of a preset project.

The recommendation library software tool development kit is a set of development tools used for establishing an application program for a specific software package, a software framework, a hardware platform, an operating system and the like, or may also be a set of development tools for a certain function of an existing application program, for example, a push function of health advice of a heart health item added for a certain health type APP. After the suggestion library SDK package is generated, the research platform records and stores the version information of the suggestion library SDK package. The preset items may be divided according to different medical research fields, for example, the preset items may be divided into heart-like items, sleep-like items, rehabilitation-like items, and the like.

Correspondingly, the APP development mechanism can apply for adding one or more types of health items supported by the research platform through the interactive application interface of the first terminal. After generating the suggestion library SDK package, the APP development mechanism may download the suggestion library SDK package at a web portal of the interactive application interface of the first terminal. After the first terminal receives a downloading instruction input by an APP development mechanism through a portal website of an interactive application interface, the first terminal sends the downloading instruction to a research platform, the research platform obtains an SDK package of a suggestion library in a database, and the SDK package of the suggestion library is sent and stored to the first terminal locally. The APP development mechanism can directly integrate the SDK package of the suggestion library into the health application program of the second terminal; in the development process of the health application program, complicated procedures such as butt joint of an APP development mechanism and a health research mechanism are saved; and meanwhile, the health application program can provide comprehensive and accurate health suggestions for the user. Wherein the second terminal may be a mobile terminal or a wearable device used by the user.

In some embodiments, when a second user uses a second terminal, the second terminal obtains health basic data of the second user, a health application program installed in the second terminal calls a predefined interface function, a health risk level of the current health condition of the second user is evaluated according to the health basic data of the second user, and the health risk level is transmitted to a research platform according to a cloud server address of the research platform in an SDK package of a suggestion library; and matching the health suggestion data in the health suggestion library of the corresponding health project according to the health risk level by the research platform, feeding the health suggestion data back to an interactive interface of a health application program of the second terminal, and providing the health suggestion data for the second user to refer. Or matching the health risk level of the current health condition of the second user with the content and the rule of the suggestion library of the health suggestion library based on the SDK package of the suggestion library local to the second terminal where the application program is located to obtain health suggestion data corresponding to the risk level, and feeding the health suggestion data back to the interactive interface of the health application program of the second terminal.

In some embodiments, when the health advice library in the database of the research platform needs to be adjusted, including adjustment of the advice library or the advice library rules, the first terminal may receive health advice information uploaded by the first user according to the classification tag of the interactive application interface, where the health advice information includes the advice content or the rule model. The classification label is used for representing the risk level corresponding to the suggested content and the rule model corresponding to the risk level. And if the uploaded health suggestion information meets the requirements of professional standards, the research platform stores the health suggestion information as a health suggestion library corresponding to the health items in the database.

Correspondingly, when the research platform receives new health suggestion information uploaded aiming at the existing health items, the cloud server side of the research platform updates the health suggestion library of the health items, and updates the suggestion library SDK package corresponding to the health items and the version information of the suggestion library SDK package.

In some embodiments, after the version information of the suggestion library SDK package corresponding to the health item is updated, the research platform sends a notification of updating the suggestion library SDK package to the application program added to the health item in the second terminal; or the application program added with the health project in the second terminal periodically compares the version information of the local recommendation library SDK package of the second terminal with the version information of the recommendation library SDK package recorded by the research platform to determine whether the local recommendation library SDK package of the second terminal needs to be updated; so as to provide timely and accurate health suggestion data for a user of the second terminal for installing the health application program; the operation flow that the APP version needs to be updated when the health suggestion library is updated by the current health APP is saved; the time consumed by the release and audit processes of the health APP is reduced, the development workload of the health APP is saved, and the development difficulty of the health APP is reduced.

In some embodiments of the present application, the internal management structure of the research platform may employ a browser/server architecture; the database system of the research platform may include a plurality of vertically distributed service processing modules and service databases respectively corresponding to the service processing modules, for example, a service database corresponding to a front end web page of the management research platform, a service database corresponding to a health advice, a service database corresponding to a software development kit for creating an advice library, and the like. And the service processing modules perform data interaction with each other to complete service processing of the front-end page request.

A system architecture to which the health advice information processing method according to the embodiment of the present application is applied is described.

Please refer to fig. 1, which is a schematic diagram of a system architecture for a health advice information processing method according to an embodiment of the present application.

In some embodiments, the front end of the research platform supports a browser of a first terminal to display an interactive application interface, such as the first terminal (browser) shown in fig. 1, and research institutions joining the health project interact information with the research platform through a web portal provided by the interactive application interface of the first terminal. The first terminal receives health suggestion information, configuration request information or configuration updating information and the like input by a first user (a research institution or a project manager) on an interactive application interface, generates corresponding request instructions and sends the instructions to a research platform, wherein the instructions comprise a request for uploading health suggestion data, a request for creating a suggestion library SDK package, a request for downloading the suggestion library SDK package, a request for updating the health suggestion library and the like.

In some embodiments, the software architecture of the research platform is deployed in a vertically distributed form based on a business scenario at a server, and the server may be a server cluster or a cloud server. The server cluster may include a plurality of servers, which correspond to different business logics, such as a server 1 for managing a front-end web page web and a server 2 for supporting database management; the software architecture of the cloud server of the research platform comprises a plurality of business modules, such as a management module which is responsible for managing health advice and a processing module which creates an advice library software tool development kit.

In some embodiments, the first terminal receives information input by a first user, and the first terminal sends an instruction to the research platform according to the received information; the research platform responds to the instruction of the first terminal, and corresponding service logics are respectively executed through the server 1 and the server 2; in the process of executing corresponding business logic, the server 1 and the server 2 can perform data interaction and cooperate with instructions for completing different tasks.

It should be noted that the software architecture of the research platform includes not only the server 1 and the server 2, but also is only exemplarily illustrated in fig. 1, and may be specifically divided according to the service logic types supported by the research platform, including but not limited to the two server architectures in fig. 1.

Specifically, in the application scenario of the health advice information processing method provided by the application, health advice information of various types of health items is stored in a database of a research platform; the health items comprise heart items, sleep items, rehabilitation items and the like; the health suggestion information is stored as a health suggestion library according to different health item classifications, and the health suggestion library comprises: suggestion repository rules and suggestion repository content. The suggestion library rules set criteria for a plurality of health risk levels, with different health risk levels corresponding to suggestion library content of different health suggestion levels.

And presetting a rule model label and recommended content labels with different health recommended levels on an interactive application interface of the first terminal. A research institution or project administrator may apply for a health project to join a research platform and obtain a health advice base for a certain health project through the research platform.

The method comprises the steps that a first terminal receives one or more suggested content labels with different levels and one or more rule model labels which are selected and input by a research institution or a project administrator; the first terminal sends an instruction to the research platform according to the input label; the research platform acquires the content of a suggestion library corresponding to the suggestion content tag and the suggestion library rule corresponding to the rule model tag in the health suggestion library of the health project according to the instruction, packages and packages the suggestion library rule and the content of the suggestion library to generate a suggestion library software tool development kit, and records and stores the version information of the suggestion library software tool development kit in a database; the research platform feeds back data flow of a homepage file of the suggestion library software tool development kit to the first terminal, and the interactive application interface of the first terminal displays tags of the suggestion library software tool development kit.

Research institutions may download suggestion library software tool development packages through the interactive application interface of the first terminal, integrate the suggestion library SDK packages directly into the health class application programs of the second terminal, or create the health class application programs according to the suggestion library SDK packages. Therefore, the health advice data provided by the research platform and the establishment function of the SDK package of the advice library can be used for conveniently and quickly generating the software tool development package of the advice library, the development difficulty of health application programs is reduced, the development period is shortened, and the problems of complicated processes and resource limitation of a medical institution are solved.

After the suggestion library SDK package is integrated into the health application program of the second terminal, as in the framework shown in fig. 1, the health basic data of the second user is collected at the second terminal, and the health basic data is evaluated to obtain the health risk level of the second user. In a second terminal networking state, according to the cloud server address of the research platform in the SDK package of the suggestion library of the application program, the health risk level is sent to the cloud server of the research platform; and matching the health risk level with suggestion library rules in a health suggestion library by the research platform in combination with the historical data of the user to obtain health suggestion data meeting the health risk level, pushing the health suggestion data to an application program client of a second terminal, and providing the health suggestion data for the user to refer. The method and the device realize more intelligent and professional analysis of the health data of the user and provide more reliable health suggestion data for the user.

When health suggestion information in a database of a research platform needs to be adjusted, a first terminal receives suggestion content or a rule model input by a first user; and the first terminal sends an instruction to the research platform according to the suggested content or rule model, and the research platform updates the suggested library or the suggested library rule in the health suggested library of the health item according to the instruction. Meanwhile, the suggested library SDK package in the database and the version information of the suggested library SDK package can be updated.

In a database of a research platform, after the version of the SDK package of the suggestion library is updated, notifying an application program of a second terminal integrating the SDK package of the suggestion library through a network; or the second terminal inquires the version information of the SDK package of the suggestion library in the database of the research platform through the application program and compares the version information with the version information of the SDK package of the suggestion library local to the second terminal, and if the version of the SDK package of the suggestion library in the research platform is higher than the version of the SDK package of the suggestion library local to the second terminal, the application program on the second terminal downloads the SDK package of the suggestion library in the research platform. Therefore, when the health suggestion library of the second terminal is updated, the version of the application program does not need to be upgraded, the updated SDK package of the suggestion library is directly downloaded, the time from the release of the application program to the verification of the application market process is shortened, the development workload is reduced, and the real-time online update of the suggestion library is realized.

Fig. 2 is a schematic interface diagram of a research platform when creating a proposed library software tool development kit according to an embodiment of the present application. As shown in fig. 2, the interface schematic diagram is an interactive application interface displayed on the first terminal corresponding to the research platform.

In some embodiments of the present application, a research platform (e.g., the HiResearch platform, huaye) is provided with corresponding base items for each type of health item; for example, for heart health projects, project basic information, personnel authority, application infringement, metadata, questionnaires, science popularization articles, task strategies, suggestion management, a pre-made suggestion library and other tags are set in project management tags. Each label is provided with relevant information about the health item, and other relevant information about the health item can be viewed by a research institution or a project manager according to the label prompt. Wherein, a homepage and a branch of help documents are arranged on the project basic information interface; in the homepage column, health advice tags of various categories are set. As shown in fig. 2, the basic information of the items for the heart health items includes arrhythmia detection week advice, arrhythmia detection month advice, and arrhythmia detection year advice; specifically, the division may be performed according to other time intervals or parameters, and is not particularly limited.

Aiming at the arrhythmia detection week suggestion, a plurality of health suggestion tags with different risk levels are set; the risk level may include high risk, medium risk, low risk, or no abnormality; and setting a plurality of corresponding risk prompts and suggestions for each risk level, wherein the risk prompts and suggestions can be specifically set according to needs without specific limitations. Wherein the multiple risk tips and suggestions are labels corresponding to the suggested library content.

A homepage of the project basic information is provided with a label corresponding to the rule model aiming at the arrhythmia detection week suggestion; as shown in fig. 2, the rule models include models corresponding to rule 1, rule 2, and rule 3, respectively; each rule corresponds to a rule model, and the rule model comprises a monitoring index item, a threshold value and a relational expression; the health indexes, the threshold values and the relational expressions of the rule models corresponding to different health items can be flexibly configured. For example, for a cardiac health item, the rule model may include: the abnormal proportion is more than or equal to 60 percent, the abnormal proportion is more than or equal to 20 percent and less than 60 percent, and the abnormal proportion is more than 0 and less than 20 percent. Wherein, the high-risk health suggestion content is correspondingly matched when the abnormal proportion is more than or equal to 60 percent, the medium-risk health suggestion content is correspondingly matched when the abnormal proportion is more than or equal to 20 percent and less than 60 percent, and the low-risk health suggestion content is matched when the abnormal proportion is more than 0 and less than 20 percent.

The interactive application interface displayed by the research platform at the first terminal as shown in fig. 2, the first terminal may receive the suggested content tags and the rule model tags input by the research institution or the project administrator; the first terminal sends an instruction to the research platform according to the suggested content label and the rule model label; and extracting the content and the rules of the suggestion library in the database by the research platform according to the tag of the suggestion content and the tag of the rule model, performing logic processing on the content and the rules of the suggestion library, packaging and packaging the content and the rules of the suggestion library to generate a development kit of a software tool of the suggestion library, and recording and storing the version information of the development kit of the software tool of the suggestion library. And the research platform feeds back the generated data stream of the homepage file of the recommendation library software tool development kit to the first terminal, and displays the label of the recommendation library software tool development kit on an interactive application interface of the first terminal.

Wherein, the label selected and input by the research institution or the project administrator can comprise one or more label information in the suggested content label and one or more label information in the rule model label.

Referring to fig. 3, which is a schematic view of an implementation flow of creating a recommendation library software tool development kit provided in an embodiment of the present application, based on an interactive application interface displayed at a first terminal in fig. 2 and information interaction between the first terminal and a research platform, in a default configuration scenario, a recommendation library software tool development kit required for development of a health class application program is created through the research platform; the research platform is taken as an execution subject, and the specific implementation process comprises the following steps:

step S301, receiving a first instruction sent by a first terminal, wherein the first instruction comprises configuration request information of health suggestion information corresponding to a health item.

In some embodiments of the present application, the execution subject of the method flow is a research platform, a database of the research platform stores health advice of various types of health items, and each type of health item corresponds to one or more health advice libraries. The health advice base comprises advice base contents and advice base rules; the suggested library content comprises specific suggested content, and the suggested library rule comprises a rule model corresponding to the health index.

In some embodiments, the first terminal is a terminal device displaying an interactive application interface; the first terminal provides a portal website for the first user through the interactive application interface, and receives configuration request information input by the first user through tag information provided by the portal website. After the first terminal receives the configuration request information, the research platform receives a first instruction sent by the first terminal according to the configuration request information, wherein the first instruction is used for instructing the research platform to execute a business process of creating a suggested library software tool development kit corresponding to the configuration request information.

Wherein the first user may be a research institution for the health-type application or a project administrator for the research platform. The configuration request information includes default configuration information and custom configuration information. The research platform shown in fig. 2 provides a display interface of default configuration information, and the first user can select and input the required configuration content according to the tag information provided by the display interface; wherein the tag information includes a suggested content tag and a rule model tag. The first terminal can receive one or more items of label information input by a first user according to the prefabricated label selection and send a first instruction to the research platform; and the research platform calls suggestion library contents corresponding to the suggestion content tags and suggestion library rules corresponding to the rule model tags in a health suggestion library of the health items in the database according to the first instruction.

Step S302, according to the configuration request information, generating a suggestion library software tool development kit of the health suggestion information corresponding to the health project.

In some embodiments of the present application, the first instruction is configured to instruct a research platform to generate a recommendation library software tool development kit for health recommendation information corresponding to a health item according to the configuration request information.

In some embodiments, the research platform accesses the database according to the configuration request information in the first instruction, and extracts the health suggestion library of the health item according to the tag information in the configuration request information. Each health item corresponds to one or more health suggestion libraries, and suggestion library contents and suggestion library rules corresponding to the health items are stored in the health suggestion libraries. The health items include a heart health item, a sleep apnea item, a rehabilitation medical item, and the like. The content and rules of the suggestion library corresponding to different health items are different.

It should be noted that, when the configuration mode selected by the first user is the default configuration mode, the background directly extracts the suggestion library rule and the suggestion library content corresponding to the health item according to the suggestion content tag and the rule model tag selected and input by the user.

In some embodiments, the generating a recommendation library software tool development kit for health recommendation information corresponding to the health item according to the configuration request information includes:

a1, extracting suggestion library content and suggestion library rules in a health suggestion library corresponding to the health items according to the label information corresponding to the suggestion content and the rule model of the health items respectively.

A2, packaging the suggestion library content and suggestion library rules in the health suggestion library, generating the suggestion library software tool development kit of the health project, and recording the version information of the suggestion library software tool development kit.

In some embodiments of the present application, the configuration request information includes tag information corresponding to the suggested content of the health item and the rule model, respectively. The configuration request information may include one or more tags for the suggested content and one or more tags for the rule model.

In addition, the plurality of suggested content tags correspond to different health risk levels, for example, the health risk levels include a high risk level, a medium risk level, a low risk level and a no risk level, wherein the high risk level corresponds to a high risk prompt and suggestion 1, a high risk prompt and suggestion 2, and the like. The abnormal threshold set for different health risk levels corresponds to multiple rule model labels, for example, the rule model includes: the abnormal proportion is more than or equal to 60 percent, the abnormal proportion is more than or equal to 20 percent and less than 60 percent, and the abnormal proportion is more than 0 and less than 20 percent; the label corresponding to each rule model comprises: rule one (corresponding to abnormal proportion more than or equal to 60%), rule two (corresponding to abnormal proportion more than or equal to 20% and less than 60%), and rule three (corresponding to abnormal proportion more than 0 and less than 20%).

In some embodiments of the present application, a health advice repository for the health item is stored in a database of the research platform, the health advice repository including advice repository content associated with advice content tags of the interactive application interface of the first terminal and advice repository rules associated with a rule model of the interactive application interface of the first terminal. And the research platform extracts the suggestion library content and the suggestion library rules in the health suggestion library according to the received one or more suggestion content labels and one or more rule model labels. And packaging the content of the suggestion library and the rules of the suggestion library according to the format and the packaging command of the software tool development kit to generate the suggestion library software tool development kit based on the health suggestion information of the health project. Wherein the generated suggested library software tool development kit is suitable for application programs developed based on any operating system.

Step S303, sending the data stream of the proposal library software tool development kit to the first terminal; and the data stream of the recommendation library software tool development kit is used for displaying the label of the recommendation library software tool development kit on the interactive application interface of the first terminal.

In some embodiments of the application, after the research platform generates the recommendation library software tool development kit, the recommendation library software tool development kit is fed back to the first terminal, the data stream for displaying the software tool development kit label is sent to the first terminal, and the recommendation library software tool development kit for displaying the health item is indicated on the interactive application interface of the first terminal.

According to the embodiment of the application, the health suggestion data provided by the research platform and the establishment function of the suggestion library SDK package can be used for conveniently and quickly generating the suggestion library software tool development package through the research platform according to the instruction sent by the first terminal, so that the development difficulty of health application programs is reduced, the development period is shortened, and the tedious process of docking a medical institution is reduced.

Fig. 4 is another interface diagram of the research platform when creating the proposed library software tool development kit according to the embodiment of the present application. The other interface schematic diagram is an interactive application interface displayed by the research platform at the first terminal.

In some embodiments of the present application, the research platform further provides a function of customizing the suggestion library SDK package, that is, the research institution or the project administrator uploads the health suggestion information to the research platform through the first terminal as needed, and the research platform packages and packages the health items to which the uploaded health suggestion information belongs according to the health items, so as to generate the suggestion library SDK package corresponding to the health items.

For example, as shown in fig. 4, the interactive application interface at the first terminal may provide a prompt message for uploading health advice information according to the health risk level and rule model; the method comprises the steps that a first terminal receives health suggestion information uploaded by a research institution or a project manager according to prompt information of a customized interface; and the first terminal sends an instruction to the research platform according to the received health suggestion information, instructs the research platform to store, package and pack the health suggestion information and generates a customized suggestion library SDK package.

Fig. 5 is a schematic view of another implementation flow of the software tool development kit for creating a proposed library according to the embodiment of the present application; based on the interactive application interface displayed at the first terminal in fig. 4 and information interaction between the first terminal and the research platform, a software tool development kit required for development of the health application program is created through the research platform in a customized configuration scene; specifically, before the research platform sends the data stream of the recommendation library software tool development kit to the first terminal, the method further includes:

step S501, receiving a third instruction sent by the first terminal, where the third instruction includes customized configuration information of health advice information corresponding to a health item.

In some embodiments of the present application, a research platform may receive customized configuration information uploaded by a first terminal that includes health advice information for a health project, wherein the health advice information includes advice content and a rule model. The suggested content corresponds to a rule model that corresponds to a health risk level. After the first terminal receives the customized configuration information, a third instruction is sent to the research platform; and the third instruction is used for instructing the research platform to generate a suggestion library software tool development kit of health suggestion information corresponding to the health project according to the customized configuration information.

Wherein the customized configuration information includes one or more suggested contents of the health item and one or more rule models.

Step S502, generating a suggestion library software tool development kit of the health suggestion information corresponding to the health project according to the customized configuration information.

In some embodiments of the application, the research platform packages and packages the recommendation content and the rule model in the customized configuration information according to the recommendation library content and the recommendation library rule format, respectively, according to the customized configuration information sent by the first terminal, and generates a recommendation library software tool development kit of the health recommendation information corresponding to the health item.

In some embodiments, the generating a recommendation library software tool development kit for health recommendation information corresponding to the health item according to the customized configuration information includes:

and packaging the recommendation content and the rule model to generate a recommendation library software tool development kit of the health recommendation information corresponding to the health item.

In some embodiments of the present application, the customized configuration information includes suggested content and rule models for health items. And packaging the one or more suggested contents and the one or more rule models to generate a suggestion library software tool development kit of the health suggestion information corresponding to the health items.

The research platform according to the embodiment of the present application further provides a function of generating a recommendation library software tool development kit according to the customized configuration information, for example, as shown in fig. 4, the interactive application interface is displayed on the first terminal, and the first user may also upload health recommendation information according to tag information provided by the interactive application interface, where the health recommendation information includes health content and a rule model. And after receiving the health suggestion information, the first terminal sends a third instruction to the research platform, the research platform executes the third instruction, stores and packages the health suggestion information according to the uploaded health suggestion information and the format of the suggestion library rules and the content of the suggestion library, and generates a suggestion library software tool development kit corresponding to the health project. The user can upload the health suggestion information to the research platform as required, and generate the suggestion library software tool development kit of the required health project by customizing the command of the configuration information, so that the applicability and the versatility of the research platform are improved.

Referring to fig. 6, a schematic diagram of an architecture setting of a health advice library provided in an embodiment of the present application is shown, where a health advice library of a plurality of health items is set in a database of a research platform.

In some embodiments of the present application, a database of the research platform has a plurality of health advice libraries prefabricated therein for each health item, the health advice libraries for each health item including advice library content and advice library rules. The suggestion library includes, but is not limited to: a health suggestion library of health items such as a heart health suggestion library, a sleep apnea suggestion library or a medical rehabilitation suggestion library.

Illustratively, a specific rule model and suggestion library contents of different risk levels corresponding to the rule model are configured in suggestion library rules of the health suggestion library of each health item, and the rule model is correspondingly associated with the suggestion library contents. Different thresholds are set in the rule model, and the contents of the suggestion library are matched with the different thresholds. After the health risk level of the user is determined, the rule model of the risk level can be determined, so that the suggestion library content matched with the health risk level is determined according to the corresponding association relationship between the rule model and the suggestion library content.

Specifically, the content of the suggestion library corresponding to each rule model further includes characteristic health suggestion data and conventional health suggestion data. For the content of the non-risk suggestion, only conventional health suggestion data can be included, a plurality of suggestions are set in the conventional health suggestion data, and the application program of the research platform or the second terminal can poll and match the plurality of suggestions with the health risk level of the user according to different times or rounds of starting tests by the user and push the suggestions. And aiming at other suggested library contents with certain risks, including suggested contents associated with multiple items of feature data. As shown in fig. 6, for the heart health suggestion library, the feature data includes related feature parameters such as heart rate, pressure, sleep, and human body features, and each feature data corresponds to different weight proportions; when the research platform is used for matching health suggestion data by combining with historical data of a user, if the historical data comprises abnormal indexes of multiple items of feature data, the health suggestion data is pushed in a polling mode according to the weight proportion. And the recommendation content related to each feature data comprises a plurality of recommendations, and the plurality of recommendations are polled, matched and pushed by the application program of the research platform or the second terminal according to different times or rounds of tests started by the user. Wherein, the contents of the suggestion library aiming at the existence of certain risks also comprise conventional suggestions; in the process that the research platform combines historical data of a user to match health advice data, if multiple items of feature data in the historical data have no abnormal indexes or a second terminal is not networked, directly pushing conventional advice; the conventional suggestions comprise a plurality of suggestions, and the application program of the research platform or the second terminal can poll, match and push the plurality of suggestions and the health risk level of the user according to different times or rounds of starting tests of the user.

According to the embodiment of the application, the research platform is combined with historical data of a user, the health risk level is matched with suggestion library rules in a health suggestion library, characteristic health suggestion data or conventional health suggestion data which accord with the health risk level are obtained, a plurality of pieces of suggestion data are provided for the user in a polling mode, and the suggestion data are pushed to an application program client of electronic equipment and provided for the user to refer. The method and the device realize more intelligent and professional analysis of the health data of the user, provide more accurate and reliable health advice data for the user, and improve user experience.

Referring to fig. 7, which is a schematic diagram of an implementation flow of the method for pushing health advice data provided in the embodiment of the present application, the research platform is used as an execution subject to push health advice data to an application program of a second terminal through information interaction between the second terminal and the research platform, and a specific implementation flow includes:

step S701, receiving the health risk level of the second user sent by the second terminal; and the health risk grade is a result of evaluating the health basic data of the second user by the second terminal according to the preset health standard data.

In some embodiments of the present application, the second terminal is a mobile terminal or a wearable device used by the second user, and the terminal device may measure the health basic data of the second user in an indirect or direct manner.

In some embodiments, the generated proposed library software tool development kit may be integrated into an application of the second terminal as one or more functions of the application are integrated into the application. The second user is a user using the second terminal and testing the health basic data through an application program on the second terminal. The second terminal is used for collecting the health basic data of the second user. The health basic data includes heart rate data, sleep data, or blood pressure data, etc. The second terminal can collect the health basic data of the user in a contact or non-contact mode with the second user. And the health risk grade is a result of evaluating the health basic data of the second user by the second terminal according to the preset health standard data.

Specifically, the address information of the cloud server of the research platform is included in the development kit of the software tool of the suggestion library, and the second terminal can send the health risk level to the research platform according to the address information of the cloud server after evaluating the health basic data of the second user to obtain the health risk level of the second user.

Step S702, searching health suggestion data matched with the health risk level, and pushing the health suggestion data to an application program interactive interface of the second terminal.

In some embodiments of the present application, the health risk level is used to indicate whether an abnormality exists in the health condition of the user. Health risk levels include a high risk level, a medium risk level, a low risk level, and a no risk level. And when the health risk level is a high risk level, a medium risk level or a low risk level, indicating that the health condition of the user is abnormal, and respectively corresponding to different abnormal proportions and suggestion library rules. And when the abnormal proportion corresponding to the health risk level is zero, the suggestion library rule corresponding to the health risk level of the user is a rule four, and the rule model matched with the health risk level is abnormal-free. And if the current health condition of the user is not abnormal, matching the health risk level with the health suggestion library by combining the historical data of the user to obtain a rule model matched with the health risk level. Rule models such as rule four with no risk level matching to the suggested library rule: no abnormality; no anomalies correspond to risk-free suggestions suggesting library content.

In some embodiments, if the current health condition of the user is abnormal, the health risk level is matched with the health suggestion library by combining with the historical data of the user, and a rule model matched with the health risk level is obtained. Suggesting a library rule corresponding to a health condition in which an abnormality exists includes: a plurality of rules can be set according to requirements, and are not limited herein; the rule model for suggesting library rules includes: the abnormal proportion is more than or equal to 60 percent, the abnormal proportion is more than or equal to 20 percent and less than 60 percent, and the abnormal proportion is more than 0 and less than 20 percent; the rule model corresponding to each rule is as follows: the abnormal proportion of the rule I is more than or equal to 60 percent, the abnormal proportion of the rule II is more than or equal to 20 percent and less than 60 percent, and the abnormal proportion of the rule III is more than 0 and less than 20 percent.

Wherein different rule models in the suggestion library rules correspond to different levels of health suggestions in the suggestion library content, for example: the rule model of rule one corresponds to high risk suggestions, the rule model of rule two corresponds to medium risk suggestions, and the rule model of rule three corresponds to low risk suggestions.

In some embodiments, the searching for health advice data matching the health risk level and pushing the health advice data to an application program interactive interface of the second terminal includes:

and B1, matching the health risk level with a rule model of an advice library rule in a health advice library of the health item to obtain a health advice level corresponding to the health risk level.

B2, combining the historical data of the second user, and pushing the characteristic health suggestion data or the conventional health suggestion data associated with the historical data in the health suggestion level to an application program interaction interface of the second terminal.

In some embodiments, the research platform receives the health risk level of the second user sent by the application APP of the second terminal, and determines a rule model corresponding to the current health condition of the second user and a health advice level corresponding to the rule model according to the health risk level. The research platform acquires historical data of the second user, the historical data including but not limited to one or more characteristic data of heart rate data, sleep data, pressure data or blood pressure data.

Wherein the characteristic data in the user's historical data is associated with the characteristic health advice data in the advice bank content, e.g., the heart rate data in the historical data corresponds to heart rate related advice in the high risk advice, the medium risk advice, or the low risk advice in the advice bank content.

Illustratively, historical data of the user is stored in a cloud server of the research platform, the historical data comprises a plurality of characteristic data, and whether the characteristic data meets the standard of normal characteristic parameters or not is recorded. If one feature data in the historical data does not meet the standard of the normal feature parameters, acquiring feature health suggestion data associated with the feature parameters, and pushing the feature health suggestion data associated with the feature data with abnormality in the historical data; for example, if the sleep data in the historical data of the user does not meet the standard of the normal characteristic parameter, the health advice data of the advice related to the sleep in the advice library content is acquired. And if the historical data of the user all meet the standard of the normal characteristic parameters, recommending conventional suggestions in the health suggestion levels corresponding to the risk levels. The conventional suggestions comprise a plurality of pieces of health suggestion data, and each piece of health suggestion data in the conventional suggestions is pushed in a polling mode according to a set sequence.

In some embodiments, the pushing the characteristic health advice data or the general health advice data associated with the historical data in the health advice level to an application program interaction interface of the second terminal includes:

and polling and pushing each suggestion to an application program interaction interface of the second terminal according to a preset sequence by using the plurality of suggestions in the characteristic health suggestion data or the plurality of suggestions in the conventional health suggestion data.

In some embodiments of the present application, the feature health advice data or the general health advice data comprises a plurality of advice, respectively; and polling and pushing each piece of health advice data in the conventional advice according to a set sequence.

According to the embodiment of the application, the research platform receives the health risk level sent by the second terminal, inquires health suggestion data corresponding to the health condition of the second user according to the risk level, pushes the health suggestion data to the second terminal, and provides a plurality of pieces of suggestion data for the second user to refer to for user polling; the health data of the second user can be analyzed intelligently and professionally, more reliable health suggestion data are provided for the second user, and user experience is improved.

Fig. 8 is a schematic flow chart illustrating an implementation of the health advice data processing method according to the embodiment of the present application. The research platform provided by the application can create a suggestion library software tool development kit of the health project according to a default health suggestion library selected by a user or uploaded health suggestion data; after the suggestion library software tool development kit is integrated into the application program of the second terminal, the second terminal can measure the health basic data of the user and evaluate the health risk level of the user according to the health basic data; the research platform can receive the health risk level of the user fed back by the application program of the second terminal, search health suggestion data matched with the health risk level in a health suggestion library of the health project, and push the health suggestion data to the application program of the second terminal; the development time of the health application program of the second terminal and the complicated process of docking a professional medical institution are saved, the software development difficulty is reduced, and more reliable and professional health suggestion data are conveniently and quickly provided for a user. The method comprises the following specific steps:

step S801, receiving a first instruction or a third instruction sent by a first terminal, wherein the first instruction comprises configuration request information, and the configuration request information comprises tag information respectively corresponding to the suggested content and the rule model of the health item; the third instructions include customized configuration information including suggested content and rule models for the health item.

Step S802, extracting suggestion library contents and suggestion library rules in a health suggestion library of the health items according to the label information respectively corresponding to the suggestion contents and the rule models; or acquiring the suggested content and the rule model of the health item uploaded by the first terminal.

Step S803, packaging the content of the suggestion library and the rules of the suggestion library to generate a suggestion library software tool development kit of the health project.

Step S804, after the recommendation library software tool development kit is integrated into the application program of the second terminal, receiving the health risk level of the second user fed back by the second terminal; and the health risk grade is the result of evaluating the health basic data of the second user by the second terminal according to the preset health standard data.

Step S805, searching health suggestion data matched with the health risk level, and pushing the health suggestion information to an application program interactive interface of a second terminal.

According to the embodiment of the application, the research platform stores health suggestion information of health projects, can receive a first instruction sent by a first terminal, generates a suggestion library software tool development kit of the health suggestion information corresponding to the health projects according to configuration request information of the health suggestion information corresponding to the health projects in the first instruction, and sends data streams of the software tool development kit to the first terminal, so that an interactive application interface of the first terminal displays tags of the software tool development kit; the health application program development mechanism can directly download the recommendation library software tool development kit according to the label of the interactive application interface display software tool development kit, and integrate the recommendation library SDK kit into the application program of the electronic equipment, so that in the development process of the health application program, the complicated processes of butt joint of the APP development mechanism and the health research mechanism and the like are saved; through the health suggestion data provided by the research platform and the establishment function of the suggestion library SDK package, the suggestion library software tool development package can be generated conveniently and rapidly, the development difficulty of health application programs is reduced, and the development period is shortened; a software tool development kit of the corresponding health application program is generated through the health suggestion information of the health project stored by the research platform, and information interaction is carried out at the second terminal, so that more comprehensive and more accurate health suggestions can be provided for the development of the health application program, and the problem of resource limitation is solved.

Fig. 9 is a schematic flow chart of the research platform for pushing health advice data according to the embodiment of the present application. And after the second terminal acquires the health basic data of the second user, evaluating the health basic data according to the pre-prepared health standard data to obtain the health risk level of the second user. The application program of the second terminal transmits the health risk level to a cloud server of the research platform according to the cloud server address of the research platform in the local suggestion library SDK package; matching the health risk level with a rule model of an advice base rule by the research platform in combination with the second user historical data to obtain a health advice level corresponding to the health risk level; and polling a plurality of health suggestions of the pushed characteristic health suggestion data or the conventional health suggestion data according to the matching result.

Illustratively, the logical schematic of the research platform push health advice data application scenario shown in FIG. 9 includes the following steps:

step S901, receiving a health risk level sent by an application APP of the second terminal, where the health risk level is obtained by evaluating health basic data of the user according to the pre-made health standard data by the second terminal.

And step S902, judging whether the health condition of the user is abnormal or not according to the health risk level.

In some embodiments, the health risk levels include a high risk level, a medium risk level, a low risk level, and a no risk level. When the health risk level is a high risk level, a medium risk level or a low risk level, it is indicated that the health condition of the user is abnormal, and the health condition is respectively corresponding to different abnormal proportions; and when the abnormal proportion corresponding to the health risk level is zero, the suggestion library rule corresponding to the health risk level of the user is a rule four, and the rule model matched with the health risk level is abnormal-free.

And step S903, if the current health condition of the user is not abnormal, matching the health risk level with a health suggestion library by combining historical data of the user to obtain a rule model matched with the health risk level.

For example, a rule model with no risk level matching to rule four of the suggested library rules: no abnormality; no anomalies correspond to risk-free suggestions suggesting library content.

Step S904, polling and recommending a plurality of pieces of health advice data in the risk-free advice corresponding to the rule model according to a preset order.

In some embodiments, the no exception corresponds to a no risk recommendation, the no risk recommendation comprising a conventional recommendation, the conventional recommendation comprising a plurality of pieces of health recommendation data. And the research platform combines the historical data to poll and recommend each piece of health advice data of the conventional advice according to a preset sequence.

Step S905, if the current health condition of the user is abnormal, matching the health risk level with a health suggestion library by combining historical data of the user to obtain a rule model matched with the health risk level.

In some embodiments, suggesting a library rule corresponding to a health condition in which an abnormality exists may include: rule one, rule two and rule three, and a plurality of rules can be set according to requirements; the rule model for suggesting library rules includes: the abnormal proportion is more than or equal to 60 percent, the abnormal proportion is more than or equal to 20 percent and less than 60 percent, and the abnormal proportion is more than 0 and less than 20 percent; the rule model corresponding to each rule is as follows: the abnormal proportion of the rule I is more than or equal to 60 percent, the abnormal proportion of the rule II is more than or equal to 20 percent and less than 60 percent, and the abnormal proportion of the rule III is more than 0 and less than 20 percent. Wherein different rule models in the suggestion library rules correspond to different levels of health suggestions in the suggestion library content, for example: the rule model of rule one corresponds to high risk suggestions, the rule model of rule two corresponds to medium risk suggestions, and the rule model of rule three corresponds to low risk suggestions.

Step S906, whether the second terminal is connected to the network.

In some embodiments, the second terminal is in a networking state, the APP can perform information interaction with a cloud server of the research platform through an address in the SDK package of the suggestion library to receive health suggestion data pushed by the research platform. When the second terminal is in an off-line state, the application program APP can push health suggestion data according to the health suggestion library in the local suggestion library SDK package.

Step S907, if the second terminal is in the offline state, the local health suggestion library recommendation rule model of the application APP of the second terminal corresponds to a conventional suggestion of the high-risk suggestion, the middle-risk suggestion or the low-risk suggestion. Wherein the rule model is a suggestion library rule matched with the health risk level; the conventional advice includes a plurality of pieces of health advice data, and polls each piece of health advice data matching the conventional advice according to a measurement time or number of times of the user.

Step S908, if the second terminal is in the networking state, determining health advice data in the health advice library of the research platform according to the rule model corresponding to the health risk level in combination with the historical data (including heart rate, sleep, stress, blood pressure, or the like) of the research platform.

In some embodiments, if the second terminal is in a networking state, the research platform receives a health risk level of the user sent by the application APP of the second terminal, and the research platform determines a rule model corresponding to the current health condition of the user and a health advice level corresponding to the rule model according to the risk level. The research platform acquires historical data of the user, the historical data including but not limited to one or more characteristic parameters of heart rate data, sleep data, pressure data or blood pressure data. Wherein the characteristic data in the user's historical data is associated with the characteristic health advice data in the advice library content, e.g., the heart rate data in the historical data corresponds to heart rate related advice in the high risk advice in the advice library content.

In step S909, the research platform determines whether there is an abnormality in the history data.

In some embodiments, the historical data of the user is stored in a cloud server of the research platform, the historical data comprises a plurality of feature data, and whether the feature data meets the standard of normal feature parameters or not is recorded. If one feature data in the historical data does not accord with the standard of the normal feature data, acquiring feature health suggestion data associated with the feature data; for example, if the sleep data in the historical data of the user does not meet the standard of the normal characteristic parameter, the health advice data of the advice related to the sleep in the advice library content is acquired.

Step S910, if the historical data of the user all meet the standard of the normal characteristic parameters, recommending the conventional suggestions in the health suggestion levels corresponding to the risk levels. The conventional suggestion comprises a plurality of pieces of health suggestion data, and each piece of health suggestion data in the conventional suggestion is polled and pushed according to a set sequence.

Step S911, the research platform pushes feature health advice data associated with the feature data with the abnormality in the historical data to the second terminal.

In some embodiments, the health advice levels include high risk advice, medium risk advice, low risk advice, and no risk advice. The different health advice levels may include a plurality of characteristic health advice data (e.g., a heart rate related advice, a stress related advice, a sleep related advice, a body characteristic related advice, etc. included in the high risk advice shown in fig. 6), each of which includes a plurality of advice (e.g., advice 1, advice 2, etc. of the heart rate related advice in the corresponding high risk advice shown in fig. 6), i.e., a plurality of health advice data. The plurality of feature health advice data for the high risk advice, the medium risk advice, and the low risk advice include heart rate related advice, stress related advice, sleep related advice, and human feature related advice, respectively; each item of feature health advice data is provided with a corresponding weight percentage; each feature health advice data includes a plurality of advice (i.e., a plurality of health advice data). The research platform may recommend each piece of health advice data based on user measurement time or regular polling.

In addition, the high-risk advice, the medium-risk advice, the low-risk advice, and the no-risk advice each further include conventional health advice data, the conventional health advice data including a plurality of advice (i.e., health advice data), and the research platform may poll each piece of health advice data of the recommended conventional advice according to a user measurement time or a rule.

Wherein the risk-free suggestion includes a conventional suggestion, the conventional suggestion includes a plurality of pieces of suggestion data (such as suggestion 1, suggestion 2 in fig. 6), and each piece of suggestion data is recommended according to the user measurement time or regular polling.

In some embodiments, if only characteristic data associated with one of the characteristic health advice data (e.g., only heart rate data) is included in the user history data, polling recommends a plurality of advice (e.g., advice 1 or advice 2 of the heart rate related advice of the health advice levels that correspond to the health risk level) that are heart rate related advice; if the user historical data comprises data related to a plurality of feature data in the feature health suggestion data, sequentially pushing a plurality of suggestions of the feature health suggestion data from high weight to low weight according to the weight of each feature health suggestion data, wherein the plurality of suggestions of each feature health suggestion data can be pushed in a polling mode.

Referring to fig. 10, a schematic interface diagram of a health advice data pushing result provided in the embodiment of the present application is shown. As shown in fig. 10, the research platform pushes health advice data more in line with the health condition of the user to the application program interactive interface of the second terminal according to the health risk level and in combination with the historical data of the user. Different health suggestion data can be matched according to the health basic data of the current measurement user and the historical data of the combined user; if the measured basic health data are the same and can correspond to different health conditions, different health suggestion data are pushed; for example, as shown in fig. 10, the same measured data may correspond to "irregular heart rate" or "not abnormal" health advice data, respectively. If there are other characteristic data in combination with the historical data, different health advice data may be correspondingly matched, as shown in fig. 10, in the two advice items that are both "suspected premature beats", different result advice items (for example, proportion data of premature beat in the result advice) are respectively corresponding to the different result advice items. Thereby providing more professional and reliable health advice information for the user.

Referring to fig. 11, a schematic diagram of an interface of a research platform when uploading health advice data provided in an embodiment of the present application is shown, which is similar to a display interface for creating an SDK package of a customized advice library. When the suggestion library or the suggestion library rules in the health suggestion library of the research platform need to be adjusted, a research institution or a project manager can upload health suggestion information needing to be adjusted through an interactive application interface of the first terminal, wherein the health suggestion information comprises suggestion contents and rule models. As shown in fig. 11, the update page provided at the interactive application interface of the first terminal corresponds to the heart health item; the health suggestion library of the health item comprises suggestion library contents and suggestion library rules; an interactive application interface of the first terminal is provided with recommended content tags which are used for prompting uploading, such as high risk, medium risk, low risk, no abnormality and the like corresponding to the recommended content; and simultaneously, the system also comprises a rule model label which is uploaded in a prompt mode and corresponds to the rule of the suggestion library. The first terminal sends a second instruction to the research platform after receiving the health suggestion information and the storage and update instruction input by the research institution or the project administrator, wherein the second instruction is used for instructing the research platform to perform data logic processing, and storing and updating the health suggestion information in a health suggestion library corresponding to the health project according to the rules of the suggestion library and the format of the content of the suggestion library.

Referring to fig. 12, which is a schematic flow diagram of updating a health advice base in a research platform database provided in the embodiment of the present application, based on information interaction between a first terminal and a research platform and information interaction between a second terminal and the research platform, the research platform is taken as an execution subject to implement updating of a health advice base and an SDK package of the advice base of a health project; the specific implementation process comprises the following steps:

step S1201, receiving a second instruction sent by the first terminal, where the second instruction includes configuration update information of the health item.

In some embodiments of the present application, when the health advice information stored in the database of the research platform needs to be adjusted, the health advice information includes adjustment of content of the advice library or adjustment of rules of the advice library, the first terminal receives health advice information that needs to be adjusted and is input by a first user, and the first terminal sends a second instruction according to the health advice information, where the second instruction is used to instruct the research platform to update the health advice library of the health item according to the configuration update information.

And step S1202, updating the health suggestion library of the health items according to the configuration updating information.

In some embodiments, said updating the health advice base for the health item in accordance with the configuration update information comprises:

and updating suggestion library contents in the health suggestion library of the health item according to the suggestion contents of the health item, or updating suggestion library rules in the health suggestion library of the health item according to the rule model of the health item.

In some embodiments of the present application, the first terminal receives health advice information uploaded by the first user according to a prompt tag of the interactive application interface, where the health advice information includes advice content or a rule model of a health item.

In some embodiments, after receiving a save and update instruction sent by a first terminal, a research platform does not execute the update instruction, saves health advice data, and sets a tag to be audited; the research platform audits the health suggestion information according to a preset professional standard, or professional researchers audits the health suggestion information; after the health suggestion information is approved, the health suggestion information is stored as a health suggestion library corresponding to the health items or the health suggestion library corresponding to the existing health items is updated.

In some embodiments, after the first terminal sends health advice information of a certain health item uploaded by a first user to a research platform, the research platform evaluates the health advice information according to a preset professional standard, and after the evaluation is qualified, a health advice library of a pre-manufactured health item can be updated according to the uploaded health advice information; if the uploaded health advice information corresponds to the newly added health item, a new health advice library of the health item can be created according to the uploaded health advice information.

In some embodiments, the method comprises:

c1, packaging the updated health suggestion library corresponding to the health item, generating an updated suggestion library software tool development kit, and updating the version information of the suggestion library software tool development kit from the first version to the second version; wherein the second version is higher than the first version.

C2, sending the data flow of the updated recommendation library software tool development kit to the first terminal.

In some embodiments, the method comprises:

d1, receiving version query information sent by the second terminal, wherein the version query information is used for querying whether the version of the software tool development kit of the research platform is larger than that of the software tool development kit of the second terminal.

And D2, if the version of the software tool development kit of the research platform is larger than that of the second terminal, sending a download path of the software tool development kit of the research platform to the second terminal, wherein the download path is used for instructing the second terminal to download the software tool development kit of the research platform.

In some embodiments, the research platform packages the recommendation library content in the updated health recommendation library or the newly created health recommendation library of the health project with recommendation library rules, generates a recommendation library SDK package, records and stores version information of the recommendation library SDK package, and feeds back a data stream of a page file of the recommendation library SDK package to the interactive application interface of the first terminal.

By the embodiment, when the health advice information in the health advice library of the health item needs to be adjusted, the research platform can receive the second instruction sent by the first terminal, and update the health advice library of the health item according to the configuration update information of the health item in the second instruction; therefore, the health advice information can be updated timely, and the reliable and real-time requirements of the user on the health advice information are met. Meanwhile, when the health suggestion library of the suggestion library software tool development kit of the second terminal is updated, the version of the application program does not need to be upgraded, the time from the release of the application program to the verification of the application market process is shortened, the development workload is reduced, and the real-time online update of the suggestion library is realized.

Referring to fig. 13, which is an interaction diagram of health advice library update provided in the embodiment of the present application, a health advice library of a health item is updated through a research platform, and based on information interaction between the research platform and a second terminal, update of an advice library SDK package at the second terminal is implemented, where the implementation process includes:

step S1301, the research platform receives health advice information sent by the first terminal.

The health advice information is uploaded by a project manager or a research institution through an interactive application interface of the first terminal.

And step S1302, the research platform checks the health advice information according to a preset professional standard.

And step S1303, if the verification result is qualified, the research platform updates the health suggestion library, the suggestion library SDK package and the version information of the suggestion library SDK package.

After the recommendation library SDK package of the research platform is updated, the recommendation library SDK package integrated in the application program local of the second terminal also needs to be updated synchronously, and the method specifically comprises the following steps:

step S1304, the application program APP of the second terminal inquires the version information of the SDK package of the suggestion library on the research platform.

Step S1305, the application APP determines whether the version of the suggestion library SDK package of the research platform is greater than the version of the suggestion library SDK package local to the second terminal.

Step 1306, if the version of the suggested library SDK package of the research platform is larger than the version of the suggested library SDK package local to the second terminal, the application APP acquires a download path of the suggested library SDK package of the research platform, and downloads the suggested library SDK package of the new version.

Step 1307, the application program APP updates the local recommendation library SDK package according to the downloaded new version recommendation library SDK package, and re-creates a pushing process of the health recommendation data, so that the new version recommendation library SDK package takes effect.

Step S1308, if the version of the suggested library SDK package of the research platform is not greater than the version of the suggested library SDK package local to the second terminal, the query process is ended.

By the embodiment of the application, when the health suggestion library of the suggestion library software tool development kit of the second terminal is updated, the version of the application program does not need to be upgraded, the time for auditing the process from the application program release to the application market is shortened, the development workload is reduced, and the real-time online update of the suggestion library is realized.

Referring to fig. 14, which is a schematic flow diagram of the first terminal for processing health advice information provided in the embodiment of the present application, the first terminal performs information interaction with a research platform, and the first terminal obtains configuration request information, so that the research platform creates an advice library SDK package according to the configuration request information; the first terminal is used as an execution main body, and the specific implementation process comprises the following steps:

step S1401, receiving configuration request information input by a first user, where the configuration request information includes tag information of health advice information corresponding to a health item.

In some embodiments, the receiving the configuration request information input by the first user includes:

receiving one or more items of label information corresponding to the suggested content of the health item input by the first user and one or more items of label information corresponding to a rule model.

In some embodiments of the present application, the configuration request information includes tag information corresponding to the suggested content of the health item and the rule model, respectively.

Step S1402, sending a first instruction to a research platform according to the label information of the health suggestion information of the health project; the first instruction is used for instructing the research platform to generate a suggestion library software tool development kit of health suggestion information corresponding to the health project according to the configuration request information.

In some embodiments, the sending a first instruction to a research platform according to the tag information of the health advice information of the health item includes:

and sending a first instruction to the research platform according to one or more items of tag information corresponding to the suggested content of the health project and one or more items of tag information corresponding to the rule model.

The first instruction is used for instructing the research platform to extract suggestion library contents and suggestion library rules in a health suggestion library corresponding to the health items according to label information corresponding to suggestion contents and rule models of the health items respectively, and packaging the suggestion library contents and the suggestion library rules in the health suggestion library to generate the suggestion library software tool development kit of the health items.

Step S1403, receiving the data stream of the suggested library software tool development kit sent by the research platform, and displaying the data stream of the suggested library software tool development kit as a tag of the suggested library software tool development kit on an interactive application interface.

Referring to fig. 15, which is another schematic flow diagram of the first terminal for processing health advice information provided in the embodiment of the present application, the first terminal performs information interaction with the research platform, and the first terminal obtains configuration update information, so that the research platform updates the health advice library and the advice library SDK package of the health item according to the configuration update information; the first terminal is used as an execution main body, and the specific implementation process comprises the following steps:

step S1501, receiving configuration updating information input by a first user, wherein the configuration updating information comprises health suggestion information corresponding to the health items.

Step S1502, according to the health suggestion information corresponding to the health item, a second instruction is sent to the research platform; wherein the second instructions are to instruct the research platform to update the health advice repository of the health item according to the configuration update information.

In some embodiments, the sending a second instruction to the research platform according to the health advice information corresponding to the health item includes:

sending the second instruction to the research platform according to the suggested content of the health item or the rule model; wherein the second instructions are configured to instruct the research platform to update the health advice base of the health item according to the advice content or update advice base rules in the health advice base of the health item according to the rule model.

In some embodiments of the present application, the configuration update information includes suggested content or rule models for health items.

In some embodiments of the present application, after the recommendation library or recommendation library rule in the health recommendation library of health items is updated, the method includes:

and step S1503, receiving the data stream of the updated development kit of the suggested library software tool sent by the research platform, and displaying the data stream of the updated development kit of the suggested library software tool as a tag of the updated development kit of the software tool on the interactive application interface.

And the updated software tool development kit is obtained by packaging the health item corresponding to the updated health suggestion library for the research platform.

According to the embodiment, when the health suggestion information of the health items stored in the research platform needs to be adjusted, the first terminal receives configuration updating information input by a first user, the configuration updating information comprises health suggestion information corresponding to the health items, and the health suggestion information corresponding to the health items comprises suggestion contents or rule models; if the content and the rule of the suggestion library in the health suggestion library of the research platform need to be adjusted, the first terminal sends the received suggestion content and rule model to the research platform, so that the research platform updates and adjusts the content or the rule of the suggestion library in the health suggestion library of the health project; therefore, the health advice information can be updated timely, and the reliable and real-time requirements of the user on the health advice information are met.

Referring to fig. 16, which is another schematic flow diagram of the first terminal for processing health advice information provided in the embodiment of the present application, the first terminal performs information interaction with a research platform, and the first terminal obtains customized configuration information, so that the research platform creates an advice base SDK package according to the customized configuration information; the first terminal is used as an execution main body, and the specific implementation process comprises the following steps:

step S1601, receiving customized configuration information input by the first user, wherein the customized configuration information includes health suggestion information corresponding to the health item.

Step S1602, sending a third instruction to the research platform according to the health suggestion information corresponding to the health item; the third instruction is used for instructing the research platform to generate a suggestion library software tool development kit of health suggestion information corresponding to the health project according to the customized configuration information.

In some embodiments, the sending a third instruction to the research platform according to the health advice information corresponding to the health item includes:

sending the third instruction to the research platform according to the suggested content and rule model of the health project; wherein the third instructions are operable to instruct the research platform to package suggested content and rule models for the health item, generating the suggestion library software tool development kit for the health item.

In an embodiment of the present application, the customized configuration information includes suggested content and rule models for health items.

According to the embodiment, the research platform further provides a function of generating the suggestion library software tool development kit according to the customized configuration information, the user can upload the health suggestion information through the first terminal according to needs, the first terminal sends the health suggestion information to the research platform according to the affiliated health items, the affiliated suggestion library contents and the suggestion library rules, the research platform is instructed to generate the suggestion library software tool development kit of the needed health items through commands of the customized configuration information, and the applicability and the versatility of the research platform are improved.

Fig. 17 is a schematic diagram of multi-terminal information interaction provided in the embodiment of the present application.

In some embodiments of the present application, the research platform may generate an SDK package of a suggestion library of the health application according to the configuration request information in the first instruction sent by the first terminal; the research institution directly integrates the suggestion library SDK package into the health application program of the electronic equipment by downloading the suggestion library SDK package at the first terminal, so that the development period of the health application program is shortened, and the development difficulty and the development cost of the health application program are reduced. In the actual application process, the second terminal acquires the health basic data of the user, and carries out risk assessment on the health basic data to obtain the health risk level of the user; the health risk level of the user is sent to a research platform, the research platform can match the health risk level of the user with a rule model of a health suggestion library by combining historical data of the user, and health suggestion data conforming to the physical condition of the current user are pushed.

As shown in fig. 17, a first application scenario introduces a process in which a research platform creates an SDK package of a suggestion library according to configuration request information and interacts with a first terminal and a second terminal, and specifically includes the following steps:

1. the first terminal receives configuration request information uploaded by a first user, wherein the configuration request information comprises tag information of health suggestion information corresponding to a health project.

In some embodiments, the configuration request information includes request information that a research institution or project administrator selects to input according to tag information provided by a web portal of the interactive application interface of the first terminal, and may also be health advice information uploaded by a customized prompt provided by the web portal of the interactive application interface of the research institution or project administrator first terminal and request information of a customized advice library SDK, wherein the health advice information includes advice content and a rule model.

2. The first terminal sends a first instruction to the research platform according to the label information of the health suggestion information, wherein the label information comprises suggestion content labels and rule model labels.

3. And the research platform extracts the suggestion library content corresponding to the suggestion content tag and the suggestion library rule corresponding to the rule model tag according to the tag information in the configuration request information, packages the suggestion library content and the suggestion library rule and generates a suggestion library software tool development kit of the health project.

4. The research platform sends the data stream of the recommendation library software tool development kit to the first terminal.

5. And the first terminal displays the label of the development kit of the suggestion library software tool on the interactive application interface according to the data flow of the development kit of the suggestion library software tool.

6. And downloading the recommendation library software tool development kit, and integrating the recommendation library software tool development kit into the application program of the second terminal.

7. And the second terminal acquires the health basic data of the second user.

In some embodiments, the second terminal may be a user using a mobile terminal or a wearable device. For example, the mobile terminal may be a mobile phone, a tablet, or a rehabilitation medical device; the wearable device can be a smart watch, an earphone, a smart bracelet or a pendant, and the like. After the user starts the electronic equipment measurement, the second terminal can acquire the health basic data of the specific health item of the user in a contact or non-contact mode. For example, a sensor arranged through a smart watch can record the pulse beating times of a user, so that heart rate data of heart health items of the user can be acquired. The second terminal has many ways to collect the basic data of the user health, and is not limited in detail here.

In some embodiments, the second terminal may set a fixed period or frequency to perform multiple measurements on the user, so as to obtain multiple sets of measurement data; and evaluating the multiple groups of measurement data according to the prefabricated health standard data to obtain the health risk level of the user.

8. And the second terminal evaluates the health risk level of the current health condition of the second user according to the health basic data.

9. The second terminal matches the health risk level with a health suggestion library in a local suggestion library software tool development kit to obtain health suggestion data; alternatively, the health risk level is sent to a research platform.

10. And the research platform receives the health risk level, and matches the risk level with the health suggestion library by combining the second user historical data to obtain health suggestion data.

In some embodiments, after the recommendation library software development tool SDK package is integrated into the application APP of the electronic device, the second terminal may match health recommendation data corresponding to the health risk level according to a health recommendation library in the recommendation library software development tool SDK package of the application APP; or the health risk level is transmitted to the research platform according to the cloud server address of the research platform in the suggestion library software development tool SDK package, and the research platform combines with the user historical data to obtain health suggestion data matched with the health risk level. The user history data includes other characteristic data related to health items, for example, in a heart health item, the user history data may include heart rate data, pressure data, sleep data, blood pressure data, or body characteristic data, and other data related to the heart health item.

11. And pushing the health advice data to an application program interaction interface of the second terminal.

In some embodiments, health advice information matching the health risk level is recommended according to an advice library SDK package local to the application APP; specifically, according to a rule model of a health suggestion library rule in the suggestion library SDK package, a health suggestion level corresponding to a health risk level is matched, and suggestion library contents corresponding to the health suggestion level are recommended, where the suggestion library contents may include a plurality of conventional suggestions (e.g., suggestion 1 and suggestion 2 in the conventional suggestions corresponding to the suggestion library contents of different risk levels in fig. 6), that is, a plurality of pieces of health suggestion data may be polled and recommended according to a test time or a rule of a user.

In some embodiments, the research platform matches the health risk level with a rule model of a suggestion library rule in the health suggestion library in combination with the user historical data to obtain suggestion library content of the health suggestion level corresponding to the health risk level and health suggestion data corresponding to the user historical data in the suggestion library content. The different health advice levels may include a plurality of feature health advice data (including a heart rate related advice, a stress related advice, a sleep related advice, a human body feature related advice, and the like included in the high risk advice shown in fig. 6), each of which includes a plurality of advice (e.g., advice 1, advice 2, and the like in the heart rate related advice in the corresponding high risk advice shown in fig. 6), i.e., a plurality of pieces of health advice information; for example, the health advice levels include high risk advice, medium risk advice, low risk advice, and no risk advice. The plurality of feature health advice data for the high risk advice, the medium risk advice, and the low risk advice include heart rate related advice, stress related advice, sleep related advice, and human feature related advice, respectively; each item of feature health advice data is provided with a corresponding weight percentage; each item of feature health advice data comprises a plurality of advice, namely a plurality of pieces of health advice information, and each piece of health advice information can be recommended according to the measurement time of the user or regular polling. The high-risk advice, the medium-risk advice, the low-risk advice, and the no-risk advice further include conventional health advice data, respectively, and the conventional health advice data includes a plurality of advice, i.e., health advice information, each piece of health advice information of which is recommended by polling according to a user measurement time or a rule. The risk-free suggestions include conventional suggestions, which include a plurality of pieces of suggestion information (e.g., suggestion 1, suggestion 2, etc. in fig. 6), and the recommendations are polled according to a user measurement time or on a regular basis.

In some embodiments, if the user history data includes only characteristic parameters associated with one of the characteristic health advice data (e.g., only heart rate data), then the polling recommends a plurality of advice (e.g., advice 1 or advice 2, etc. of the heart rate related advice in the risk level advice) corresponding to the heart rate related advice; if the historical data of the user comprises data related to a plurality of items in the feature health suggestion data, sequentially pushing a plurality of suggestions of the feature health suggestion data from high weight to low weight according to the weight of the feature health suggestion data, wherein the plurality of suggestions of each feature health suggestion data can be pushed in a polling mode.

As shown in an application scenario two shown in fig. 16, an embodiment of the present application further provides a multi-end interaction flow of an update process of an SDK package of a suggestion library, which introduces an information interaction process that when a health suggestion library of a research platform is updated, a corresponding local health suggestion library of a second terminal is also updated, and specifically includes the following steps:

1. the first terminal receives configuration updating information input by a first user, and the configuration updating information comprises health suggestion information corresponding to health items.

In some embodiments, the health advice information includes advice content and a rule model, and when the advice content or the advice library rules in the background database of the research platform need to be adjusted, the first terminal may receive the advice content or the rule model which needs to be updated and is uploaded by a research institution or a project administrator; the interactive application interface of the first terminal can provide a prompt tag for uploading health advice information, and a research institution or a project manager can correspondingly upload advice content and the rule model to a research platform according to the prompt tag.

2. And the first terminal sends a second instruction to the research platform according to the health suggestion information, and the configuration update information comprises suggestion content or rule models of the health items.

3. The research platform evaluates whether the health suggestion information meets the requirements of professional standards, and if so, updates the content of a suggestion library of the health suggestion library according to the suggestion content or updates the rules of the suggestion library of the health suggestion library according to a rule model; and updating the suggested library software tool development kit and the version information of the software tool development kit.

In some embodiments, professional standards of different health items can be preset in the research platform, the professional standards are used for evaluating the reliability of the health advice information, the matching percentage of the health advice information and the professional standards is obtained by comparing the health advice information with the professional standards, and if the matching percentage exceeds a preset threshold, the health advice information is evaluated to meet the requirements of the professional standards; or after uploading the health advice information, the background of the research platform stores the health advice information into the database according to the content of the advice base and the rule format of the advice base, and sets a tag to be checked, and a professional in the field of health research acquires the health advice information with the tag to be checked through a checking page of the first terminal by the research platform to check the health advice information.

In some embodiments, if the health advice information meets the requirements of the professional standards, the research platform stores the health advice information to a health advice library in the database, updates the health advice library for the health items corresponding to the health advice data, and updates the advice library SDK package created by the health advice library and version information of the advice library SDK package.

4. And the application program of the second terminal inquires whether the version of the SDK package of the suggestion library of the research platform is larger than that of the SDK package of the local suggestion library.

In some embodiments, the application program of the second terminal may periodically query the version of the SDK package in the suggestion library in the database of the research platform, compare whether the version of the SDK package in the suggestion library in the database is consistent with the version of the SDK package in the local suggestion library, and determine that the SDK package in the background database is updated if the version of the SDK package in the suggestion library in the database is higher than the version of the SDK package in the local suggestion library.

In some embodiments, after the recommendation library SDK package is updated in the database of the research platform, the research platform may further send an update message to the application APP of the electronic device to notify the application APP to update the recommendation library SDK package.

5. And if the version of the recommendation library SDK package of the research platform is larger than the version of the recommendation library SDK of the second terminal, the application program of the second terminal downloads and installs the recommendation library SDK package of the latest version.

In some embodiments, after the application program of the second terminal queries that the version of the suggestion library SDK in the background database of the research platform is updated, or the second terminal receives a notification of updating the version of the suggestion library SDK package sent by the research platform, the application program of the second terminal obtains the address of the suggestion library SDK package updated by the research platform, and downloads the updated suggestion library SDK package to the local, so as to update the local suggestion library SDK package. The application program APP does not need to be upgraded, and only the SDK package of the suggestion library is updated.

It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

Corresponding to the embodiments of the health advice information processing method and the application scenario described in the above embodiments, fig. 18 shows a structural block diagram of a research platform provided in another embodiment of the present application, and for convenience of explanation, only the relevant parts of the embodiment of the present application are shown.

Please refer to fig. 18, which is a schematic structural diagram of a research platform according to an embodiment of the present application. The research platform comprises one or more processors, memory; the memory coupled with the one or more processors, the memory to store computer program code, the computer program code comprising computer instructions; the computer instructions, when executed by the one or more processors, cause the research platform to perform the health advice information processing method described above.

As shown in fig. 18, the research platform 18 of this embodiment includes: at least one processor 180 (only one shown in fig. 18), a memory 181, and a computer program 182 stored in the memory 181 and executable on the at least one processor 180, the processor 180 implementing the steps in the above-described health advice information processing method embodiments when executing the computer program 182.

The research platform 18 may be a computing device such as a cloud server. The research platform 18 may include, but is not limited to, a processor 180, a memory 181. Those skilled in the art will appreciate that FIG. 18 is merely an example of a research platform 18 and is not intended to limit the scope of the research platform 18, and may include more or less components than those shown, or some components may be combined, or different components may be included, such as input output devices, network access devices, etc.

The Processor 180 may be a Central Processing Unit (CPU), and the Processor 180 may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory 181 may in some embodiments be an internal storage unit of the research platform 18, such as a hard disk or memory of the research platform 18. The memory 181 may also be an external storage device of the research platform 18 in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like, provided on the research platform 18. Further, the memory 181 may also include both internal and external storage units of the research platform 18. The memory 181 is used for storing an operating system, an application program, a BootLoader (BootLoader), data, and other programs, such as program codes of the computer program. The memory 181 may also be used to temporarily store data that has been output or is to be output.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

Corresponding to the embodiments of the health advice information processing method and the application scenario described in the above embodiments, fig. 19 shows a structural block diagram of a first terminal provided in another embodiment of the present application, and for convenience of explanation, only the parts related to the embodiments of the present application are shown.

Please refer to fig. 19, which is a schematic structural diagram of a first terminal according to an embodiment of the present application. The first terminal comprises one or more processors, memory; the memory coupled with the one or more processors, the memory to store computer program code, the computer program code comprising computer instructions; when the one or more processors execute the computer instructions, the first terminal is caused to execute the health advice information processing method.

As shown in fig. 19, the first terminal 19 of this embodiment includes: at least one processor 190 (only one shown in fig. 19), a memory 191, and a computer program 192 stored in the memory 191 and executable on the at least one processor 190, the processor 190 implementing the steps in the above-described health advice information processing method embodiments when executing the computer program 192.

The first terminal 19 may be a computing device such as a desktop computer, a notebook computer, and a palm computer. The first terminal 19 may include, but is not limited to, a processor 190 and a memory 191. Those skilled in the art will appreciate that fig. 19 is merely an example of the first terminal 19 and does not constitute a limitation of the first terminal 19 and may include more or less components than those shown, or some components may be combined, or different components may be included, such as input output devices, network access devices, etc.

The Processor 190 may be a Central Processing Unit (CPU), and the Processor 190 may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory 191 may in some embodiments be an internal storage unit of the first terminal 19, such as a hard disk or a memory of the first terminal 19. The memory 191 may be an external storage device of the first terminal 19 in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. provided on the first terminal 19. Further, the memory 191 may also include both an internal storage unit of the first terminal 19 and an external storage device. The memory 191 is used for storing an operating system, application programs, a BootLoader (BootLoader), data, and other programs, such as program codes of the computer programs. The memory 191 may also be used to temporarily store data that has been output or is to be output.

Corresponding to the embodiments of the health advice information processing method and the application scenario described in the above embodiments, fig. 20 shows a structural block diagram of a second terminal provided in another embodiment of the present application, and for convenience of explanation, only the parts related to the embodiments of the present application are shown.

The embodiment of the application also provides a health advice information processing system, which comprises one or more processors, a memory and a transceiver; the memory, the transceiver, and the one or more processors, the memory to store computer program code, the computer program code comprising computer instructions; the computer instructions, when executed by the one or more processors, cause the system to perform the health advice information processing method.

Please refer to fig. 20, which is a schematic structural diagram of a second terminal according to an embodiment of the present application. The second terminal comprises one or more processors, memory; the memory coupled with the one or more processors, the memory to store computer program code, the computer program code comprising computer instructions; when the one or more processors execute the computer instructions, the second terminal is caused to execute the health advice information processing method.

As shown in fig. 20, the second terminal 20 of this embodiment includes: at least one processor 200 (only one is shown in fig. 20), a memory 201, and a computer program 202 stored in the memory 201 and executable on the at least one processor 200, wherein the processor 200 implements the steps in the above-mentioned health advice information processing method embodiments when executing the computer program 202.

The second terminal 20 may be a computing device such as a mobile terminal or a portable device. The second terminal may include, but is not limited to, a processor 200, a memory 201. Those skilled in the art will appreciate that fig. 20 is merely an example of the second terminal 20 and does not constitute a limitation of the second terminal 20, and may include more or less components than those shown, or combine some of the components, or different components, such as input output devices, network access devices, etc.

The Processor 200 may be a Central Processing Unit (CPU), and the Processor 200 may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The storage 201 may in some embodiments be an internal storage unit of the second terminal 20, such as a hard disk or a memory of the second terminal 20. The memory 201 may also be an external storage device of the second terminal 20 in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the second terminal 20. Further, the memory 201 may also include both an internal storage unit and an external storage device of the second terminal 20. The memory 201 is used for storing an operating system, an application program, a BootLoader (BootLoader), data, and other programs, such as program codes of the computer program. The memory 201 may also be used to temporarily store data that has been output or is to be output.

In some embodiments of the present application, the software systems of the first terminal and the second terminal may adopt a layered architecture, an event-driven architecture, a micro-core architecture, a micro-service architecture or a cloud architecture.

Embodiments of the present application also provide a computer-readable storage medium storing a computer program, where the computer program includes instructions that, when executed on a computer or a processor, cause the computer or the processor to perform one or more steps of any one of the methods described above.

The embodiment of the application also provides a computer program product containing instructions. When run on a computer or on a processor, the computer program product causes the computer or processor to perform one or more steps of any of the methods described above.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in or transmitted over a computer-readable storage medium. The computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optics, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

One of ordinary skill in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by hardware related to instructions of a computer program, which may be stored in a computer readable storage medium, and when executed, may include the processes of the above method embodiments. And the aforementioned storage medium includes: various media capable of storing program codes, such as ROM or RAM, magnetic or optical disks, etc.

The above description is only a specific implementation of the embodiments of the present application, but the scope of the embodiments of the present application is not limited thereto, and any changes or substitutions within the technical scope disclosed in the embodiments of the present application should be covered by the scope of the embodiments of the present application. Therefore, the protection scope of the embodiments of the present application shall be subject to the protection scope of the claims.

Claims

1. A health advice information processing method applied to a research platform is characterized by comprising the following steps:

receiving a first instruction sent by a first terminal, wherein the first instruction comprises configuration request information of health suggestion information corresponding to a health item;

generating a suggestion library software tool development kit of health suggestion information corresponding to the health project according to the configuration request information;

sending the data stream of the suggested library software tool development kit to the first terminal; and the data stream of the recommendation library software tool development kit is used for displaying the label of the recommendation library software tool development kit on the interactive application interface of the first terminal.

2. The method according to claim 1, characterized in that it comprises:

receiving a second instruction sent by the first terminal, wherein the second instruction comprises configuration updating information of the health item;

and updating the health suggestion library of the health items according to the configuration updating information.

3. The method according to claim 1, characterized in that it comprises:

receiving the health risk level of the second user sent by the second terminal; the health risk level is a result of evaluating the health basic data of the second user by the second terminal according to the preset health standard data;

and searching health suggestion data matched with the health risk level, and pushing the health suggestion data to an application program interactive interface of the second terminal.

4. The method of claim 1, wherein the configuration request information includes tag information corresponding to suggested content of the health item and a rule model respectively;

the recommendation library software tool development kit for generating the health recommendation information corresponding to the health item according to the configuration request information includes:

extracting suggestion library contents and suggestion library rules in a health suggestion library corresponding to the health items according to label information respectively corresponding to the suggestion contents and the rule models of the health items;

and packaging the content and the rules of the suggestion library in the health suggestion library, generating the development kit of the software tools of the suggestion library of the health project, and recording the version information of the development kit of the software tools of the suggestion library.

5. The method of claim 2, wherein the configuration update information comprises suggested content or rule models for health items;

the updating the health advice base of the health item according to the configuration update information comprises:

6. The method of claim 5, wherein the method comprises:

packaging the health item corresponding to the updated health suggestion library to generate an updated suggestion library software tool development kit, and updating the version information of the suggestion library software tool development kit from a first version to a second version; wherein the second version is higher than the first version;

and sending the data stream of the updated development kit of the recommendation library software tool to the first terminal.

7. The method of claim 6, wherein the method comprises:

receiving version query information sent by a second terminal, wherein the version query information is used for querying whether the version of a software tool development kit of the research platform is larger than that of the software tool development kit of the second terminal;

and if the version of the software tool development kit of the research platform is larger than that of the second terminal, sending a download path of the software tool development kit of the research platform to the second terminal, wherein the download path is used for instructing the second terminal to download the software tool development kit of the research platform.

8. The method of claim 3, wherein the searching for health advice data matching the health risk level and pushing the health advice data to an application interactive interface of the second terminal comprises:

matching the health risk level with a rule model of an advice library rule in a health advice library of the health item to obtain a health advice level corresponding to the health risk level;

and pushing the characteristic health suggestion data or the conventional health suggestion data associated with the historical data in the health suggestion level to an application program interaction interface of the second terminal in combination with the historical data of the second user.

9. The method of claim 8, wherein the characteristic health advice data or the general health advice data each comprises a plurality of advice;

the pushing of the characteristic health advice data or the conventional health advice data associated with the historical data in the health advice level to the application program interactive interface of the second terminal comprises:

10. The method of claim 1, further comprising, prior to said sending the data stream of the proposed library software tool development kit to the first terminal:

receiving a third instruction sent by the first terminal, wherein the third instruction comprises customized configuration information of health suggestion information corresponding to a health project;

and generating a suggestion library software tool development kit of the health suggestion information corresponding to the health project according to the customized configuration information.

11. The method of claim 10, wherein the customized configuration information includes suggested content and rule models for health items;

the suggestion library software tool development kit for generating the health suggestion information corresponding to the health item according to the customized configuration information comprises:

12. A health advice information processing method applied to a first terminal is characterized by comprising the following steps:

receiving configuration request information input by a first user, wherein the configuration request information comprises tag information of health suggestion information corresponding to a health item;

sending a first instruction to a research platform according to the label information of the health suggestion information of the health project; the first instruction is used for instructing the research platform to generate a suggestion library software tool development kit of health suggestion information corresponding to the health project according to the configuration request information;

and receiving the data stream of the suggested library software tool development kit sent by the research platform, and displaying the data stream of the suggested library software tool development kit as a label of the suggested library software tool development kit on an interactive application interface.

13. The method of claim 12, wherein the method comprises:

receiving configuration updating information input by a first user, wherein the configuration updating information comprises health suggestion information corresponding to the health items;

sending a second instruction to the research platform according to the health suggestion information corresponding to the health item; wherein the second instructions are to instruct the research platform to update the health advice repository of the health item according to the configuration update information.

14. The method of claim 12, wherein the configuration request information includes tag information corresponding to suggested content of the health item and a rule model respectively;

the receiving of the configuration request information input by the first user includes:

15. The method of claim 14, wherein sending a first instruction to a research platform according to the tag information of the health advice information of the health item comprises:

sending a first instruction to the research platform according to one or more items of tag information corresponding to the suggested content of the health project and one or more items of tag information corresponding to a rule model;

16. The method of claim 13, wherein the configuration update information comprises suggested content or rule models for health items;

the sending a second instruction to the research platform according to the health advice information corresponding to the health item includes:

sending the second instruction to the research platform according to the suggested content of the health item or the rule model;

wherein the second instructions are configured to instruct the research platform to update the health advice base of the health item according to the advice content or update advice base rules in the health advice base of the health item according to the rule model.

17. The method of claim 16, wherein the method comprises:

after the suggestion library or the suggestion library rules in the health suggestion library of the health project are updated, receiving the data stream of the updated suggestion library software tool development kit sent by the research platform, and displaying the data stream of the updated suggestion library software tool development kit as the label of the updated software tool development kit on the interactive application interface;

18. The method of claim 12, further comprising, prior to said receiving the data stream of the proposed library software tool development kit sent by the research platform:

receiving customized configuration information input by the first user, wherein the customized configuration information comprises health suggestion information corresponding to the health items;

sending a third instruction to the research platform according to the health suggestion information corresponding to the health items;

the third instruction is used for instructing the research platform to generate a suggestion library software tool development kit of health suggestion information corresponding to the health project according to the customized configuration information.

19. The method of claim 18, wherein the customized configuration information includes suggested content and rule models for health items;

the sending of a third instruction to the research platform according to the health advice information corresponding to the health item includes:

sending the third instruction to the research platform according to the suggested content and rule model of the health project;

wherein the third instructions are operable to instruct the research platform to package suggested content and rule models for the health item, generating the suggestion library software tool development kit for the health item.

20. A research platform, comprising one or more processors, memory;

the memory coupled with the one or more processors, the memory to store computer program code, the computer program code comprising computer instructions;

the computer instructions, when executed by the one or more processors, cause the research platform to perform the health advice information processing method of any one of claims 1 to 11.

21. A first terminal, wherein the first terminal displays an interactive application interface, and wherein the first terminal comprises one or more processors, memory;

the computer instructions, when executed by the one or more processors, cause the first terminal to perform the health advice information processing method of any one of claims 12 to 19.

22. A health advice information processing system, the system comprising one or more processors, a memory, and a transceiver;

the memory, the transceiver, and the one or more processors, the memory to store computer program code, the computer program code comprising computer instructions;

the computer instructions, when executed by the one or more processors, cause the system to perform the health advice information processing method of any one of claims 1 to 19.

23. A computer-readable storage medium, characterized in that a computer program is stored thereon, the computer program comprising instructions that, when run on a computer, cause the computer to execute the health advice information processing method according to any one of claims 1 to 19.

24. A computer program product containing instructions which, when run on a computer, cause the computer to carry out the health advice information processing method according to any one of claims 1 to 19.