WO2021135592A1

WO2021135592A1 - Health data-based health report generation method and related device

Info

Publication number: WO2021135592A1
Application number: PCT/CN2020/124901
Authority: WO
Inventors: 姚芳玲; 张旺; 庄伯金; 王少军
Original assignee: 平安科技（深圳）有限公司
Priority date: 2020-07-09
Filing date: 2020-10-29
Publication date: 2021-07-08
Also published as: CN111833982A

Abstract

A health data-based health report generation method and system, a computer device, and a storage medium. Said method comprises: obtaining health indicator data of a user; performing comprehensive analysis and evaluation on all health indicator data and also performing individual analysis and evaluation on each piece of health indicator data; using the comprehensive evaluation result and individual evaluation results separately as indexes and performing inquiries in a pre-established corpus so as to provide corresponding health recommendations and generate a health report. The health indicator data of the user can be stored in a blockchain. Said method can enhance the accuracy of health evaluation and generate visual and accurate health recommendations for the user. The present invention also facilitates the user to conduct real-time daily monitoring of one's own health state, thereby effectively enhancing user health level.

Description

Health report generating method based on health data and related equipment

This application claims the priority of the Chinese patent application filed with the Chinese Patent Office on July 9, 2020, the application number is 202010659068.6, and the invention title is "Health report generation method based on health data and related equipment", the entire content of which is by reference Incorporated in this application.

Technical field

This application relates to the field of data processing technology, and in particular to a method for generating health reports based on health data and related equipment.

Background technique

With the development of science and technology and the improvement of people's living standards, people are paying more and more attention to the health of the body, and daily health management has become crucial. The prerequisite of health management is to collect the health data of the service objects. Through the analysis of health data, the complex data can be converted into intuitive text, so that people can accurately understand their own health status and make improvements.

At present, the interpretation of health data is mostly obtained through manual methods. For example, doctors analyze the health data of patients and give relevant health recommendations; there are also related studies that try to analyze and generate text recommendations through a large amount of health data. However, the inventor found that these methods have high requirements on the accuracy and quantity of health data collection, and most health data collection relies on sophisticated medical equipment, which is difficult to achieve in daily health management. In daily health management, usually only a small amount of human body data (such as heart rate, blood pressure, etc.) can be collected through a small number of convenient devices (such as mobile phones, bracelets), and these measured data usually have errors, resulting in inaccurate health status judgments and difficult to give Give accurate health advice.

Summary of the invention

The purpose of the embodiments of the present application is to propose a health report generation method based on health data and related equipment to solve the problem that it is difficult to generate accurate and intuitive health recommendations based on collected health data in daily health management.

In order to solve the above technical problems, the embodiments of the present application provide a method for generating a health report based on health data, which adopts the following technical solutions:

Acquiring health index data of the user, where the health index data includes static health index data and dynamic health index data;

Perform a comprehensive overall analysis and evaluation of all health index data according to the weights of the static health index data and the dynamic health index data, and conduct individual analysis and evaluation of each health index data at the same time;

Use the overall evaluation result as an index to query in the pre-established corpus to obtain overall health recommendations, and use the individual evaluation results as an index to query in the pre-established corpus to obtain targeted health recommendations;

Generate health reports based on general sexual health recommendations and targeted health recommendations.

In order to solve the above technical problems, the embodiments of the present application also provide a health report generation system based on health data, which adopts the following technical solutions:

The obtaining module is used to obtain the user's health index data, where the health index data includes static health index data and dynamic health index data;

The analysis and evaluation module is used to perform a comprehensive overall analysis and evaluation of all health index data according to the weights of the static health index data and the dynamic health index data, and to perform individual analysis and evaluation of each health index data at the same time;

The query module is used to query the overall evaluation result as an index in a pre-established corpus to obtain overall health recommendations, and at the same time use individual evaluation results as an index to query in the pre-established corpus to obtain targeted health recommendations; and

The generation module is used to generate health reports based on general health recommendations and targeted health recommendations.

In order to solve the above technical problems, the embodiments of the present application also provide a computer device, which adopts the following technical solutions:

The computer device includes a memory and a processor, and computer-readable instructions are stored in the memory, and when the processor executes the computer-readable instructions, the steps of the method for generating a health report based on health data as described below are implemented:

Perform a comprehensive overall analysis and evaluation of all health index data according to the weights of the static health index data and the dynamic health index data, and conduct individual analysis and evaluation for each health index data at the same time;

In order to solve the above technical problems, the embodiments of the present application also provide a computer-readable storage medium, which adopts the following technical solutions:

The computer-readable storage medium stores computer-readable instructions, and when the computer-readable instructions are executed by a processor, the steps of the method for generating a health report based on health data as described below are implemented:

Compared with the prior art, the embodiments of the present application mainly have the following beneficial effects:

This application obtains the user’s health index data. The health index data includes static health index data and dynamic health index data. According to the weight of the static health index data and the dynamic health index data, a comprehensive overall analysis and evaluation of all health index data is carried out. Each health index data is subjected to individual analysis and evaluation, and the overall evaluation result is used as an index to query in the pre-established corpus to obtain overall health recommendations. At the same time, the individual evaluation result is used as an index to query in the pre-established corpus to obtain Targeted health recommendations, and finally generate health reports based on overall health recommendations and targeted health recommendations; this application provides health recommendations through comprehensive evaluation of all health indicators, not just generating health recommendations based on a single health indicator, and can improve health The accuracy of the assessment generates intuitive and accurate health recommendations for users. At the same time, it is conducive to users' real-time daily monitoring of their health status, thereby achieving the goal of effectively improving users' health.

Description of the drawings

In order to explain the solution in this application more clearly, the following will briefly introduce the drawings used in the description of the embodiments of the application. Obviously, the drawings in the following description are some embodiments of the application. Ordinary technicians can obtain other drawings based on these drawings without creative work.

Figure 1 is an exemplary system architecture diagram to which the present application can be applied;

Fig. 2 is a flowchart of an embodiment of a method for generating a health report based on health data according to the present application;

Fig. 3 is a schematic structural diagram of an embodiment of a health report generating system based on health data according to the present application;

Fig. 4 is a schematic structural diagram of an embodiment of a computer device according to the present application.

Detailed ways

Unless otherwise defined, all technical and scientific terms used herein have the same meanings as commonly understood by those skilled in the technical field of the application; the terms used in the specification of the application herein are only for describing specific embodiments. The purpose is not to limit the application; the terms "including" and "having" in the specification and claims of the application and the above-mentioned description of the drawings and any variations thereof are intended to cover non-exclusive inclusions. The terms "first", "second", etc. in the specification and claims of this application or the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order.

The reference to "embodiments" herein means that a specific feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art clearly and implicitly understand that the embodiments described herein can be combined with other embodiments.

In order to enable those skilled in the art to better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely in conjunction with the accompanying drawings.

In order to solve the current daily health management problem that it is difficult to accurately collect health data and give health recommendations, this application provides a health report generation method based on health data, which can be applied to the system architecture 100 shown in FIG. 100 may include

terminal devices

101, 102, 103, a network 104, and a server 105. The network 104 is used to provide a medium for communication links between the

terminal devices

101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, and so on.

The user can use the

terminal devices

101, 102, and 103 to interact with the server 105 through the network 104 to receive or send messages and so on. Various communication client applications, such as web browser applications, shopping applications, search applications, instant messaging tools, email clients, and social platform software, may be installed on the

terminal devices

101, 102, and 103.

The

terminal devices

101, 102, and 103 may be various electronic devices with display screens and supporting web browsing, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (Moving Picture Experts Group Audio Layer III, dynamic Video experts compress standard audio layer 3), MP4 (Moving Picture Experts Group Audio Layer IV, dynamic image experts compress standard audio layer 4) players, laptop portable computers and desktop computers, etc.

The server 105 may be a server that provides various services, for example, a background server that provides support for pages displayed on the

terminal devices

101, 102, and 103.

It should be noted that the method for generating a health report based on health data provided by the embodiments of the present application is generally executed by a server/terminal device. Accordingly, the method for generating a health report based on health data is generally set in the server/terminal device.

It should be understood that the numbers of terminal devices, networks, and servers in FIG. 1 are merely illustrative. There can be any number of terminal devices, networks, and servers according to implementation needs.

Among them, the

terminal devices

101, 102, and 103 communicate with the server 105 through the network 104. The

terminal devices

101, 102, 103 can measure and obtain the user's health index data, and then send the obtained health index data to the server 105 through the network. The server 105 performs overall analysis and evaluation on all the health index data, and at the same time, separates each health index data. Analyze and evaluate, use the evaluation result as an index to query in a pre-established corpus, give corresponding health suggestions and generate health reports, and return the health reports to the

terminal devices

101, 102, 103.

Please refer to FIG. 2, which shows a flowchart of an embodiment of a method for generating a health report based on health data according to the present application. The method for generating a health report based on health data includes the following steps:

Step S201: Obtain the user's health index data. The health index data includes static health index data and dynamic health index data.

In this embodiment, the user's health index data includes static health index data and dynamic health index data, where static health index data refers to indicators that will not change significantly in a short period of time, such as age, height, weight, etc.; dynamic health Indicator data refers to indicators that will fluctuate in the short term, such as fatigue value, stress value, heart rate, blood pressure, etc.

For example, the fatigue value is used to reflect the fatigue degree of the user. The fatigue value can be obtained by collecting the skin conductance level data and skin conductance response data of the human body within a preset time, and then separate the skin conductance level data and the skin conductance response data. Calculate the deviation rate of the skin conductance level data and the deviation rate of the skin conductance response data, and obtain the human fatigue index according to the deviation rate of the skin conductance level data and the deviation rate of the skin conductance response data.

It should be noted that the skin conductance level data refers to the absolute value of the skin conductance across two points of the skin. It is generally considered to be the basic value of physiological activity in a calm state; the skin conductance response data refers to the one that appears in the skin conductance level. Instantaneous and rapid fluctuations, which are caused by external stimuli, and directly reflect the changes in the sympathetic nerves/parasympathetic nerves of the human body.

The stress value is used to reflect the current mental stress state of the user. The stress value can be obtained by collecting ECG data, and transmitting the collected ECG data to the existing mental stress assessment platform for analysis and calculation, thereby obtaining the stress value. It should be understood that the health index data includes, but is not limited to, obtaining through smart phones or wearable devices.

It should be emphasized that, in order to further ensure the privacy and security of the above-mentioned user's health index data, the above-mentioned user's health index data may also be stored in a node of a blockchain.

The blockchain referred to in this application is a new application mode of computer technology such as distributed data storage, point-to-point transmission, consensus mechanism, and encryption algorithm. Blockchain, essentially a decentralized database, is a series of data blocks associated with cryptographic methods. Each data block contains a batch of network transaction information for verification. The validity of the information (anti-counterfeiting) and the generation of the next block. The blockchain can include the underlying platform of the blockchain, the platform product service layer, and the application service layer.

Step S202: Perform a comprehensive overall analysis and evaluation on all health index data according to the weights of the static health index data and the dynamic health index data, and at the same time perform individual analysis and evaluation for each health index data.

In this embodiment, the overall analysis and evaluation of all the acquired health index data is performed to obtain the overall evaluation result, and at the same time, the analysis and evaluation of each acquired health index data is performed to obtain the individual evaluation result.

In some application scenarios of this embodiment, performing overall analysis and evaluation on all health index data may be performing overall health scores on all health index data to obtain the overall health score value, and further analysis is performed based on this score value.

For example, in a specific embodiment, assuming that N ₁ static health index data and N ₂ dynamic health index data are obtained, each health index is scored separately and mapped to a preset score interval, and according to the formula

Calculate the overall health score; where x _i is a static health data indicator, y _i is a dynamic health data indicator, w ₁ is a static health data indicator weight, and w ₂ is a dynamic health data indicator weight.

It should be noted that the preset score interval can be set to (0, 100); in addition, in terms of the weight value selection, a theoretical analysis will give a larger weight to static health data indicators, and a smaller dynamic health data indicator The weight, so that the health score of the same user can maintain overall stability in the time domain, with a small fluctuation effect; when selecting the weight, _{the constraint condition of w 1} + w ₂ =1 must be ensured to make the final health score score The value of is in the interval (0, 100).

The final selection of weight parameters can be verified by using a certain number of users' data, and manually adjusting these two parameters to achieve the above goals; it can also be achieved by automatic system analysis, specifically, collecting a certain number of users' health index data , Construct a health database, extract health index data features based on the health database, and obtain several time series features, assign different weight values to each feature, and score according to the weight value, and perform static health on the scored features according to preset rules For the classification of data indicators and dynamic health data indicators, the weight parameters are adjusted according to the scores of the two categories.

In some application scenarios of this embodiment, performing individual analysis and evaluation for each health index data includes:

Obtain multiple data for each health indicator;

Averaging the multiple data and performing straight line fitting;

The health indicators are classified according to the average value and the trend of the fitted straight line.

Specifically, the data of the same health index is obtained for a continuous period of time, and the obtained health index data is processed by removing the maximum and minimum values and then taking the average value, which can reduce the impact of measurement errors; adopt a straight line fitting method , Fit the measured value of this period of time, and judge the trend of the measured health index data by fitting the slope of the straight line.

Straight-line fitting can be performed by the least square method. The straight-line fitting model used is y=kx+b, where k and b are slope and intercept respectively, x is time, and y is health index data. The acquired health index data for a continuous period of time fits into a straight line.

It should be noted that in this application, the data of the same indicator can be obtained for seven consecutive days to give weekly recommendations, or the data of the same indicator can be obtained for one month to give monthly recommendations. This is not limited, and the user can set according to actual needs.

In this embodiment, according to the calculated average value, it can be judged whether the health index is in the standard interval. The standard interval can be obtained by consulting related documents or searching on the Internet. For example, the standard interval of a normal adult's heart rate is 60-100 beats/min. ; Blood pressure includes systolic and diastolic blood pressure. The standard interval of adult systolic blood pressure is 100～120mmHg, and the standard interval of adult diastolic blood pressure is 60～80mmHg; the trend of the measured health index data can be judged according to the slope of the fitted straight line. The trend of the combined straight line classifies the corresponding health indicators. The classification types include higher than the standard interval and rising, in the standard interval and falling, etc. That is, the average value is used to determine whether the health indicator is higher than the standard interval, in the standard interval or lower In the standard interval, the slope of the fitted straight line is used to determine whether the health indicators are in an upward trend or a downward trend. By categorizing the health indicators, users can more intuitively and clearly understand their health status.

In step S203, the overall evaluation result is used as an index to query in the pre-established corpus to obtain overall health advice, and the individual evaluation result is used as an index to query in the pre-established corpus to obtain targeted health advice.

It should be noted that the pre-establishment of the corpus is the pre-establishment of the mapping relationship between the evaluation results and the health recommendations; in this embodiment, there are two evaluation results, which are the overall evaluation result and the individual evaluation result, and the overall evaluation results need to be established separately The mapping relationship between the health recommendations and the mapping relationship between the individual assessment results and the health recommendations.

In some optional implementations of this embodiment, the overall evaluation result is used as an index to query in a pre-established corpus, and the overall health advice obtained includes:

Use the score of the health score as an index to search in the corpus;

According to the search results, give health and overall health recommendations.

It should be noted that the establishment of the corpus is established by searching various health or sub-health related books and crawling some health suggestions on the Internet. The simplified structure version is shown in Table 1.

Table 1

scorescore	健康状态health status
≥95≥95	您当前的健康状况非常好，请继续保持哦！Your current health condition is very good, please keep it up!
90-9590-95	您当前的健康状况很好，请继续加油哦！Your current health is very good, please continue to work hard!
80-9080-90	您当前的健康状况良好。Your current health is good.
70-8070-80	您当前的健康状态一般。Your current health status is average.
60-7060-70	您当前的健康水平较差。Your current health level is poor.
≤60≤60	您当前的健康水平很差。Your current health level is very poor.

In the actual corpus, each score segment corresponds to multiple evaluative suggestions. In the suggestion selection process, first select the corresponding multiple suggestions according to the current health score, and then randomly select one of the multiple suggestions as the final suggestion to increase the diversity of the suggestions.

In some optional implementations of this embodiment, the individual evaluation result is used as an index to query in a pre-established corpus to obtain targeted health recommendations including:

Select health indicators that deviate from standard data based on individual assessment results;

The individual evaluation results corresponding to the health indicators that deviate from the standard data are used as an index to query in a pre-established corpus to obtain targeted health recommendations for the health indicators that deviate from the standard data.

For the selection of health indicators that deviate from the standard data, the following specific schemes are adopted:

Judging whether the average value of the health index is within a preset standard interval;

If not, calculating the deviation value of the health index based on the standard interval, and comparing the deviation value with a preset threshold;

According to the comparison result, the health indicators that deviate from the standard data are selected.

In this embodiment, when the average value of a certain health index is not in the standard interval, it is judged whether it is higher than the standard interval or lower than the standard interval. If it is higher than the standard interval, the deviation value is calculated according to the high value of the standard interval; if Below the standard interval, the deviation value is calculated according to the low value of the standard interval.

For example, suppose the standard interval of a certain health index is (A, B), and the average value of the health index is calculated as X. When X is higher than the standard interval, the deviation value is:

When X is lower than the standard interval, the deviation value is:

For each indicator, the current degree of deviation from the standard interval is judged according to the calculated deviation value. The degree of deviation includes: standard, more, and many. Specifically, a first preset threshold and a second preset threshold are preset, wherein the first preset threshold is less than the second preset threshold, and when the deviation value D is less than or equal to the first preset threshold, the degree of deviation is the standard; When the value D is greater than the first preset threshold and less than or equal to the second preset threshold, the degree of deviation is large; when the value D is greater than the second preset threshold, the degree of deviation is large.

In this embodiment, if there are indicators that deviate from "a lot", these indicators are selected as health indicators that deviate from the standard data; if there are no indicators that deviate from "a lot", but there are indicators that deviate from "more", these indicators are selected The indicator serves as a health indicator that deviates from the standard data; if there is neither an indicator that deviates from "a lot" nor an indicator that deviates from "a lot", suggestive health recommendations are given based on the current user's age.

In some optional implementations of this embodiment, the individual evaluation results corresponding to the health indicators that deviate from the standard data are used as an index to query in a pre-established corpus to obtain the pertinence of the health indicators that deviate from the standard data. Health advice includes:

Use the classification characteristics of health indicators that deviate from the standard data as an index to search in the corpus;

According to the search results, specific health recommendations corresponding to health indicators that deviate from the standard data are given.

Specifically, after a certain health index is classified, the health index is combined with the type of classification as a classification feature, and then this classification feature is used as an index to search in the corpus; for example, the type of obesity value classification is higher than the standard interval And rise, the heart rate is higher than the standard interval and rise as the index, see Table 2 for details. This analysis of health data selects health indicators that deviate from the standard data and gives targeted health recommendations, which is more efficient than users simply reading data.

It should be noted that the establishment of the corpus is established by searching for various health or sub-health related books and crawling some health suggestions on the Internet. The structure version is shown in Table 2.

Table 2

It should be noted that after selecting the health indicators that deviate from the standard data, there may be a small number of indicators that deviate from the standard interval. These indicators use fixed sentences to make summary suggestions. For example: ①②Can effectively improve the symptoms of ③. Among them ①② is the nominal phrase in the corpus, which is suitable for various sub-health symptoms (such as scientifically reasonable exercise, relaxed and cheerful music, etc.), ③ is the remaining symptoms that deviate from the standard range but are not serious, for example, ① is scientifically reasonable Physical exercise; ② to change the diet, reasonable intake of nutrition; ③ to high blood sugar; the summary recommendation is scientific and reasonable exercise, change the diet, and reasonable intake of nutrition can effectively improve the symptoms of high blood sugar.

In step S204, a health report is generated according to the overall health recommendation and the targeted health recommendation.

In this embodiment, the overall health advice and the targeted health advice are combined to generate a health report. The health report generated in this way converts complex and difficult professional data into intuitive and easy-to-understand text suggestions. The health report is more Intuitive and more targeted.

This application measures and obtains the user’s health index data. The health index data includes static health index data and dynamic health index data. According to the weights of the static health index data and the dynamic health index data, a comprehensive overall analysis and evaluation of all health index data is carried out. At the same time, perform individual analysis and evaluation for each health index data, and use the overall evaluation result as an index to query in the pre-established corpus to obtain overall health recommendations. At the same time, the individual evaluation result is used as an index to query in the pre-established corpus. Draw specific health recommendations, and finally generate health reports based on overall health recommendations and targeted health recommendations; this application evaluates all health indicators to give health recommendations, not just generating health recommendations based on a single health indicator. Improve the accuracy of health assessment, generate intuitive and accurate health recommendations for users, and at the same time, facilitate users' real-time daily monitoring of their health status, so as to achieve the purpose of effectively improving users' health.

A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing relevant hardware through computer-readable instructions, which can be stored in a computer-readable storage medium. When the program is executed, it may include the processes of the above-mentioned method embodiments. Among them, the aforementioned storage medium may be a non-volatile storage medium such as a magnetic disk, an optical disc, a read-only memory (Read-Only Memory, ROM), or a random access memory (Random Access Memory, RAM), etc.

It should be understood that although the various steps in the flowchart of the drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily performed in sequence in the order indicated by the arrows. Unless explicitly stated in this article, the execution of these steps is not strictly limited in order, and they can be executed in other orders. Moreover, at least part of the steps in the flowchart of the drawings may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and the order of execution is also It is not necessarily performed sequentially, but may be performed alternately or alternately with at least a part of other steps or sub-steps or stages of other steps.

With further reference to FIG. 3, as an implementation of the method shown in FIG. 2, this application provides an embodiment of a health report generation system based on health data. The system embodiment corresponds to the method embodiment shown in FIG. 2 , The system can be applied to various electronic devices.

As shown in FIG. 3, the health report generation system 300 based on health data in this embodiment includes: an acquisition module 301, an analysis and evaluation module 302, a query module 303, and a generation module 304. among them:

The obtaining module 301 is used to obtain the user's health index data, and the health index data includes static health index data and dynamic health index data;

The analysis and evaluation module 302 is configured to perform overall analysis and evaluation on all health index data according to the weights of static health index data and dynamic health index data, and at the same time, perform individual analysis and evaluation on each health index data;

The query module 303 is configured to use the overall evaluation result as an index to query in a pre-established corpus to obtain overall health recommendations, and to use the individual evaluation results as an index to query in the pre-established corpus to obtain targeted health recommendations;

The generating module 304 is used to generate a health report according to the general health recommendation and the targeted health recommendation.

In some optional implementation manners of this embodiment, the query module 303 includes:

The selection unit is used to select health indicators that deviate from the standard data based on the individual assessment results;

The query unit is used to use the individual assessment results corresponding to the health indicators that deviate from the standard data as an index to query in a pre-established corpus to obtain targeted health recommendations for the health indicators that deviate from the standard data.

In some optional implementations of this embodiment, the analysis and evaluation module 302 includes an overall evaluation sub-module, and the overall evaluation sub-module specifically includes:

The mapping unit is used to score each health index individually and map it to the preset score interval;

Calculation unit, used according to formula

Calculate the overall health score; among them, x _i is the static health data indicator, y _i is the dynamic health data indicator, w ₁ is the weight of the static health data indicator, w ₂ is the weight of the dynamic health data indicator, and N ₁ is the static health data Number of indicators, N ₂ is the number of dynamic health data indicators.

In some optional implementations of this embodiment, the analysis and evaluation module 302 further includes an individual evaluation sub-module, and the individual evaluation sub-module specifically includes:

The acquiring unit is used to acquire multiple data of each health indicator;

A processing unit, averaging the multiple data and performing straight line fitting;

The classification unit classifies the health indicators according to the average value and the trend of the fitted straight line.

In some optional implementation manners of this embodiment, the classification unit is specifically configured to determine whether the average value of the health index is within a standard interval; if not, obtain the deviation value of the health index, and compare the deviation value Compare with a preset threshold; select health indicators that deviate from standard data according to the comparison result.

In some optional implementations of this embodiment, the query unit of the query module 303 is also used to retrieve the score of the health score as an index in the corpus; use the classification characteristics of health indicators that deviate from the standard data as an index in the corpus Search in.

The query module 303 also includes a matching unit, which is used to obtain overall health recommendations based on the search results; and is also used to obtain specific health recommendations corresponding to the health indicators that deviate from the standard data based on the search results.

The above-mentioned health report generation system based on health data obtains user health index data. The health index data includes static health index data and dynamic health index data. According to the weight of static health index data and dynamic health index data, all health index data are processed. Comprehensive overall analysis and evaluation. At the same time, individual analysis and evaluation of each health index data are performed. The overall evaluation result is used as an index to query in a pre-established corpus to obtain overall health recommendations. At the same time, the individual evaluation results are used as an index in the pre-established Query in the corpus to get targeted health recommendations, and finally generate health reports based on overall health recommendations and targeted health recommendations; this application provides health recommendations through comprehensive evaluation of all health indicators, not just based on a single health Indicators generate health recommendations, which can improve the accuracy of health assessments and generate intuitive and accurate health recommendations for users. At the same time, it is conducive to users' real-time daily monitoring of their health status, thereby achieving the goal of effectively improving users' health.

In order to solve the above technical problems, the embodiments of the present application also provide computer equipment. Please refer to FIG. 4 for details. FIG. 4 is a block diagram of the basic structure of the computer device in this embodiment.

The computer device 4 includes a memory 41, a processor 42, and a network interface 43 that are connected to each other in communication via a system bus. It should be pointed out that the figure only shows the computer device 4 with components 41-43, but it should be understood that it is not required to implement all the shown components, and more or fewer components may be implemented instead. Among them, those skilled in the art can understand that the computer device here is a device that can automatically perform numerical calculation and/or information processing in accordance with pre-set or stored instructions. Its hardware includes, but is not limited to, a microprocessor, a dedicated Integrated Circuit (Application Specific Integrated Circuit, ASIC), Programmable Gate Array (Field-Programmable Gate Array, FPGA), Digital Processor (Digital Signal Processor, DSP), embedded equipment, etc.

The computer device may be a computing device such as a desktop computer, a notebook, a palmtop computer, and a cloud server. The computer device can interact with the user through a keyboard, a mouse, a remote control, a touch panel, or a voice control device.

The memory 41 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), random access memory (RAM), static memory Random access memory (SRAM), read only memory (ROM), electrically erasable programmable read only memory (EEPROM), programmable read only memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 41 may be an internal storage unit of the computer device 4, such as a hard disk or a memory of the computer device 6. In other embodiments, the memory 41 may also be an external storage device of the computer device 6, such as a plug-in hard disk equipped on the computer device 6, a smart memory card (Smart Media Card, SMC), and a secure digital (Secure Digital, SD) card, Flash Card, etc. Of course, the memory 41 may also include both the internal storage unit of the computer device 6 and its external storage device. In this embodiment, the memory 41 is generally used to store an operating system and various application software installed in the computer device 4, such as computer readable instructions for a method of generating a health report based on health data. In addition, the memory 41 can also be used to temporarily store various types of data that have been output or will be output.

The processor 42 may be a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller, a microprocessor, or other data processing chips in some embodiments. The processor 42 is generally used to control the overall operation of the computer device 4. In this embodiment, the processor 42 is configured to run computer-readable instructions or process data stored in the memory 41, for example, run the computer-readable instructions of the method for generating a health report based on health data.

The network interface 43 may include a wireless network interface or a wired network interface, and the network interface 43 is generally used to establish a communication connection between the computer device 4 and other electronic devices.

In this embodiment, when the processor executes the computer-readable instructions stored in the memory, the steps of the method for generating health reports based on health data in the above-mentioned embodiment are implemented, which can improve the accuracy of health evaluation and generate intuitive and accurate health recommendations for users. , Which is conducive to users' real-time daily supervision of their health status, so as to achieve the purpose of effectively improving users' health.

This application also provides another implementation manner, that is, a computer-readable storage medium is provided. The computer-readable storage medium may be non-volatile or volatile. The computer-readable storage medium stores computer-readable instructions, and the computer-readable instructions can be executed by at least one processor, so that the at least one processor executes the steps of the health report generation method based on health data as described above , Can improve the accuracy of health assessment, generate intuitive and accurate health recommendations for users, and at the same time, it is conducive to users' real-time daily supervision of their health status, so as to achieve the purpose of effectively improving the health of users.

Through the description of the above implementation manners, those skilled in the art can clearly understand that the above-mentioned embodiment method can be implemented by means of software plus the necessary general hardware platform, of course, it can also be implemented by hardware, but in many cases the former is better.的实施方式。 Based on this understanding, the technical solution of this application essentially or the part that contributes to the existing technology can be embodied in the form of a software product, and the computer software product is stored in a storage medium (such as ROM/RAM, magnetic disk, The optical disc) includes several instructions to make a terminal device (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) execute the methods described in the various embodiments of the present application.

Obviously, the embodiments described above are only a part of the embodiments of the present application, rather than all of the embodiments. The drawings show preferred embodiments of the present application, but do not limit the patent scope of the present application. The present application can be implemented in many different forms. On the contrary, the purpose of providing these examples is to make the understanding of the disclosure of the present application more thorough and comprehensive. Although this application has been described in detail with reference to the foregoing embodiments, for those skilled in the art, it is still possible for those skilled in the art to modify the technical solutions described in each of the foregoing specific embodiments, or equivalently replace some of the technical features. . All equivalent structures made by using the contents of the description and drawings of this application, directly or indirectly used in other related technical fields, are similarly within the scope of patent protection of this application.

Claims

A method for generating health reports based on health data includes the following steps:

Acquiring health index data of the user, where the health index data includes static health index data and dynamic health index data;

Perform a comprehensive overall analysis and evaluation of all health index data according to the weights of the static health index data and the dynamic health index data, and conduct individual analysis and evaluation for each health index data at the same time;

Use the overall evaluation result as an index to query in the pre-established corpus to obtain overall health recommendations, and use the individual evaluation results as an index to query in the pre-established corpus to obtain targeted health recommendations;

Generate health reports based on general sexual health recommendations and targeted health recommendations.
The method for generating a health report based on health data according to claim 1, wherein the step of using the individual evaluation result as an index to query in a pre-established corpus to obtain a targeted health recommendation specifically includes:

Selecting health indicators that deviate from standard data according to the individual evaluation results;

The individual evaluation results corresponding to the health indicators that deviate from the standard data are used as an index to query in a pre-established corpus to obtain targeted health recommendations for the health indicators that deviate from the standard data.
The method for generating a health report based on health data according to claim 1, wherein the step of comprehensively analyzing and evaluating all health index data according to the weights of the static health index data and the dynamic health index data specifically comprises:

Score each health index individually and map it to a preset score interval;

According to the formula
Calculate the overall health score; where x i is static health index data, y i is dynamic health index data, w 1 is static health data index weight, w 2 is dynamic health data index weight, and N 1 is static health data Number of indicators, N 2 is the number of dynamic health data indicators.
The method for generating a health report based on health data according to claim 2, wherein the step of performing individual analysis and evaluation for each health index data specifically comprises:

Obtain multiple data for each health indicator;

Averaging the multiple data and performing straight line fitting;

The health indicators are classified according to the average value and the trend of the fitted straight line.
The method for generating a health report based on health data according to claim 4, wherein the step of selecting a health indicator that deviates from standard data according to the individual evaluation result specifically comprises:

Judging whether the average value of the health index is within a preset standard interval;

If not, calculating the deviation value of the health index based on the standard interval, and comparing the deviation value with a preset threshold;

According to the comparison result, the health indicators that deviate from the standard data are selected.
The method for generating a health report based on health data according to claim 3, wherein the step of using the overall evaluation result as an index to query in a pre-established corpus to obtain overall health advice specifically includes:

Use the score of the health score as an index to search in the corpus;

According to the search results, health overall health recommendations are derived.
The method for generating a health report based on health data according to claim 4, wherein the individual evaluation result corresponding to the health indicator deviating from the standard data is used as an index to query in a pre-established corpus to obtain The specific steps of specific health recommendations for health indicators that deviate from the standard data include:

Use the classification characteristics of health indicators that deviate from the standard data as an index to search in the corpus;

According to the retrieval result, a targeted health suggestion corresponding to the health indicator that deviates from the standard data is given.
A health report generation system based on health data includes:

The obtaining module is used to obtain the user's health index data, where the health index data includes static health index data and dynamic health index data;

The analysis and evaluation module is used to perform a comprehensive overall analysis and evaluation of all health index data according to the weights of the static health index data and the dynamic health index data, and at the same time, perform individual analysis and evaluation for each health index data;

The query module is used to query the overall evaluation result as an index in a pre-established corpus to obtain overall health recommendations, and at the same time use individual evaluation results as an index to query in the pre-established corpus to obtain targeted health recommendations; and

The generation module is used to generate health reports based on general health recommendations and targeted health recommendations.
A computer device includes a memory and a processor, wherein computer readable instructions are stored in the memory, and when the processor executes the computer readable instructions, the steps of the method for generating a health report based on health data as described below are implemented:

Acquiring health index data of the user, where the health index data includes static health index data and dynamic health index data;

Perform a comprehensive overall analysis and evaluation of all health index data according to the weights of the static health index data and the dynamic health index data, and conduct individual analysis and evaluation for each health index data at the same time;

Use the overall evaluation result as an index to query in the pre-established corpus to obtain overall health recommendations, and use the individual evaluation results as an index to query in the pre-established corpus to obtain targeted health recommendations;

Generate health reports based on general sexual health recommendations and targeted health recommendations.
The computer device according to claim 9, wherein the step of using the individual evaluation result as an index to query in a pre-established corpus to obtain targeted health advice specifically comprises:

Selecting health indicators that deviate from standard data according to the individual evaluation results;

The individual evaluation results corresponding to the health indicators that deviate from the standard data are used as an index to query in a pre-established corpus to obtain targeted health recommendations for the health indicators that deviate from the standard data.
The computer device according to claim 9, wherein the step of performing a comprehensive overall analysis and evaluation of all health index data according to the weights of the static health index data and the dynamic health index data specifically comprises:

Score each health index individually and map it to a preset score interval;

According to the formula
Calculate the overall health score; where x i is static health index data, y i is dynamic health index data, w 1 is static health data index weight, w 2 is dynamic health data index weight, and N 1 is static health data Number of indicators, N 2 is the number of dynamic health data indicators.
The computer device according to claim 10, wherein the step of performing individual analysis and evaluation for each health index data specifically comprises:

Obtain multiple data for each health indicator;

Averaging the multiple data and performing straight line fitting;

The health indicators are classified according to the average value and the trend of the fitted straight line.
The computer device according to claim 12, wherein the step of selecting a health index deviating from standard data according to the individual evaluation result specifically comprises:

Judging whether the average value of the health index is within a preset standard interval;

If not, calculating the deviation value of the health index based on the standard interval, and comparing the deviation value with a preset threshold;

Select health indicators that deviate from the standard data according to the comparison result;

The step of using the individual evaluation results corresponding to the health indicators deviating from the standard data as an index to query in a pre-established corpus to obtain targeted health recommendations for the health indicators deviating from the standard data specifically includes:

Use the classification characteristics of health indicators that deviate from the standard data as an index to search in the corpus;

According to the retrieval result, a targeted health suggestion corresponding to the health indicator that deviates from the standard data is given.
The computer device according to claim 11, wherein the step of using the overall evaluation result as an index to query in a pre-established corpus to obtain overall health advice specifically comprises:

Use the score of the health score as an index to search in the corpus;

According to the search results, health overall health recommendations are derived.
A computer-readable storage medium having computer-readable instructions stored thereon, and when the computer-readable instructions are executed by a processor, the steps of the method for generating a health report based on health data as described below are implemented:

Acquiring health index data of the user, where the health index data includes static health index data and dynamic health index data;

Perform a comprehensive overall analysis and evaluation of all health index data according to the weights of the static health index data and the dynamic health index data, and conduct individual analysis and evaluation for each health index data at the same time;

Use the overall evaluation result as an index to query in the pre-established corpus to obtain overall health recommendations, and use the individual evaluation results as an index to query in the pre-established corpus to obtain targeted health recommendations;

Generate health reports based on general sexual health recommendations and targeted health recommendations.
15. The computer-readable storage medium according to claim 15, wherein the step of using the individual evaluation result as an index to query in a pre-established corpus to obtain targeted health advice specifically comprises:

Selecting health indicators that deviate from standard data according to the individual evaluation results;

The individual evaluation results corresponding to the health indicators that deviate from the standard data are used as an index to query in a pre-established corpus to obtain targeted health recommendations for the health indicators that deviate from the standard data.
The computer-readable storage medium according to claim 15, wherein the step of performing a comprehensive overall analysis and evaluation of all health index data according to the weights of the static health index data and the dynamic health index data specifically comprises:

Score each health index individually and map it to a preset score interval;

According to the formula
Calculate the overall health score; where x i is static health index data, y i is dynamic health index data, w 1 is static health data index weight, w 2 is dynamic health data index weight, and N 1 is static health data Number of indicators, N 2 is the number of dynamic health data indicators.
The computer-readable storage medium according to claim 16, wherein the step of performing individual analysis and evaluation for each health index data specifically comprises:

Obtain multiple data for each health indicator;

Averaging the multiple data and performing straight line fitting;

The health indicators are classified according to the average value and the trend of the fitted straight line.
18. The computer-readable storage medium of claim 18, wherein the step of selecting a health indicator that deviates from standard data according to the individual evaluation result specifically comprises:

Judging whether the average value of the health index is within a preset standard interval;

If not, calculating the deviation value of the health index based on the standard interval, and comparing the deviation value with a preset threshold;

Select health indicators that deviate from the standard data according to the comparison result;

The step of using the individual evaluation results corresponding to the health indicators deviating from the standard data as an index to query in a pre-established corpus to obtain targeted health recommendations for the health indicators deviating from the standard data specifically includes:

Use the classification characteristics of health indicators that deviate from the standard data as an index to search in the corpus;

According to the search results, targeted health suggestions corresponding to the health indicators that deviate from the standard data are given.
17. The computer-readable storage medium according to claim 17, wherein the step of using the overall evaluation result as an index to query in a pre-established corpus to obtain overall health advice specifically comprises:

Use the score of the health score as an index to search in the corpus;

According to the search results, health overall health recommendations are derived.