CN113808750A

CN113808750A - Data processing method and device

Info

Publication number: CN113808750A
Application number: CN202010543500.5A
Authority: CN
Inventors: 陈能华; 汲彬彬; 赵杰
Original assignee: Alibaba Health Information Technology Ltd
Current assignee: Alibaba Health Information Technology Ltd
Priority date: 2020-06-15
Filing date: 2020-06-15
Publication date: 2021-12-17

Abstract

The application relates to a data processing method and device. The method comprises the following steps: acquiring health supply use information of a plurality of users, wherein the health supply use information at least comprises user attribute information and health supply information which are associated with the users and health management information corresponding to the health supply information; determining health supply use suggestions for first user attribute information according to the health supply use information of the plurality of users; sending the health care usage suggestion to one or more user accounts having the first user attribute information. By using the data processing method and device provided by the embodiments of the application, health management information such as disease information and health problems of specific user attribute information can be mined from big data, and health supplies with good effects can be recommended to users.

Description

Data processing method and device

Technical Field

The application relates to the technical field of intelligent medical treatment, in particular to a data processing method and device.

Background

With the development of intelligent terminal technology, various applications bring more and more convenience to the life of people. Typically, applications related to family medicine boxes appear in the market, and the applications can manage information of medicines taken by users and can remind the users of taking medicines regularly. However, the current application of home kits is limited to providing such basic functions, and more intelligent functions cannot be realized.

Therefore, a user data processing method is needed in the related art, so that the application of the family medicine boxes is more intelligent.

Disclosure of Invention

An object of the embodiments of the present application is to provide a data processing method and apparatus, which can extract health management information of specific user attribute information, such as disease information and health problems, from big data, and recommend a health product with a good effect to a user.

The data processing method and device provided by the embodiment of the application are realized as follows:

a method of data processing, the method comprising:

acquiring health supply use information of a plurality of users, wherein the health supply use information at least comprises user attribute information and health supply information which are associated with the users and health management information corresponding to the health supply information;

determining health supply use suggestions for first user attribute information according to the health supply use information of the plurality of users;

sending the health care usage suggestion to one or more user accounts having the first user attribute information.

A data processing apparatus comprising a processor and a memory for storing processor-executable instructions, the instructions when executed by the processor implementing:

A non-transitory computer readable storage medium, wherein instructions of the storage medium, when executed by a processor, enable the processor to perform the data processing method.

The data processing method and device provided by the embodiment of the application can acquire the use information of the health supplies of a plurality of users, and determine the use suggestions of the health supplies aiming at the attribute information of specific users according to the use information of the health supplies of the users. According to the embodiment of the application, big data about the use of the health supplies can be collected from a plurality of users, health supply use suggestions about characteristic user attribute information are obtained after the big data are processed, and finally the health supply use suggestions are returned to the users. In this way, health management information of specific user attribute information, such as disease information, health problems and the like, can be mined from big data, and health supplies with better effects are recommended to users.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.

FIG. 1 is a diagram illustrating an application scenario in accordance with an exemplary embodiment.

FIG. 2 is a diagram illustrating an application scenario in accordance with an exemplary embodiment.

FIG. 3 is a diagram illustrating an application scenario in accordance with an exemplary embodiment.

FIG. 4 is a diagram illustrating an application scenario in accordance with an exemplary embodiment.

FIG. 5 is a diagram illustrating an application scenario in accordance with an exemplary embodiment.

FIG. 6 is a diagram illustrating an application scenario in accordance with an exemplary embodiment.

FIG. 7 is a flow chart illustrating a method of data processing according to an exemplary embodiment.

FIG. 8 is a block diagram illustrating an apparatus in accordance with an example embodiment.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

In order to facilitate the understanding of the technical solutions provided in the embodiments of the present application by those skilled in the art, the following non-limiting description will be made on application scenarios in which health supplies are used as medicines.

As shown in fig. 1, in the application scenario of the present application, a medication suggestion of a user with at least one user attribute for at least one disease may be determined by using big data of a plurality of users. The big data of the plurality of users may include medicine usage information of the plurality of users, and the medicine usage information may include user attribute information, disease information, medicine information corresponding to the disease information, user feedback information after the user uses the medicine, and the like. After determining the medication recommendation, the medication recommendation may also be fed back to the user.

In the application scenario of the embodiment of the application, the medicine use information of the user can be acquired through various channels. As shown in FIG. 2, in one embodiment, the user's drug usage information may be obtained from the user's prescription drug ordering system. It should be noted that the implementation subject of the present application may include a drug management system, where the drug management system may include a drug management client and a drug management server, where the drug management client may be installed on an electronic device of a user and configured to manage drug usage information of the user, and the drug management server may include a backend server coupled with the drug management client. In the embodiment of the application, the drug management system may be connected to the prescription drug ordering system, and the drug management system and the prescription drug ordering system may be associated with each other through identification information of a user, such as a real name, a mobile phone number, address information, and the like of the user. The drug management system can acquire prescription drug order information of a user from the prescription drug order system when acquiring user authorization and detecting that the user has a new prescription drug order, wherein the prescription drug order information can include order identification, drug identification information, users, age, diseases, symptoms, prescription order and other information. In one example, the drug management system obtains prescription order information of a user's small sheet, and personal information of the small sheet can be obtained according to identification information of the user in the prescription order information. Specifically, the drug management system may obtain the personal information of the small sheets from a user personal information base, which may be created by the drug management system, where the personal information of each family member may be saved. In addition, the drug management system can also acquire drug information according to drug identification information in the prescription order information. Specifically, the drug management system may obtain the drug information from a drug information base, and of course, the drug information base may also be created by the drug management system, or may also be obtained from a third party, which is not limited herein. In one example, the generated drug usage information is shown in fig. 2, and of course, background automatic entry information of the drug usage information may also be determined, such as entry time, which may be included after the user confirms receipt of the drug, and location information, which may include the shipping address of the order for the prescription drug.

Fig. 3 shows the display result of the medicine usage information in the small-size medicine management application, and as shown in fig. 3, the left side of the user interface displays the small-size family member information and the right side displays the medicine usage information generated in the above embodiment. In this way, the drug usage information of the user can be entered into the drug management application without the user's perception.

FIG. 4 illustrates a process for generating medication recommendations using big data for multiple users. As shown in fig. 4, the medicine usage information of a plurality of users may be acquired, where N is the number of users. Then, at least one disease information of the user of different user attributes may be determined according to the user attributes. As shown in fig. 4, the user attributes may include different age groups, different regions, different special populations, different blood types of user populations, e.g., children 0-5 years old, elderly populations over 50 years old, a-region populations, B-region populations, etc. As shown in fig. 4, the determined disease category may include sudden disease, seasonal disease, regional disease, and the like. Wherein the sudden disease may be a disease in which the number of patients suddenly increases in the medicine usage information of the user within the latest preset time period. For example, in children aged 0-5 years, the number of patients with hand-foot-and-mouth disease increases dramatically in nearly three days. As another example, in city a, the number of patients with symptoms of fever and cough increases dramatically in nearly five days. Of course, the user attribute may include all possible attributes, and is not limited herein. The seasonal disease may include a disease in which the number of patients has increased over the last several months. For example, in 3-5 months per year, the number of allergic patients and the number of relapses of allergic people suddenly increase due to the spread of pollen. The regional diseases may include diseases for a certain region, and may of course include regional sudden diseases or regional seasonal diseases, etc. For example, influenza disease occurs in the area a for nearly three days.

After determining the disease information, medication recommendations for the disease information may be determined. The medication recommendation may include specific disease information and drug information for the disease information. In one example, for influenza disease in the area a, if the drug usage information of many influenza patients in the area a is currently acquired, the drug with the largest number of users may be counted by using the drug usage information of the influenza patients, or a drug with a better curative effect may be determined according to the drug usage feedback information of the patients. The medication recommendation may then be sent to the user with the corresponding user attribute. For example, for influenza disease in region a, corresponding medication recommendations may be sent to all users in region a.

As shown in FIG. 5, the application message shown in FIG. 5 is received in the medication management application as a thumbnail of a user in area A. When the user finds that the user has symptoms of running nose, fever and the like, the user can click the link 2 for purchasing the medicine. As shown in FIG. 6, the system can recommend several types of medicines with better curative effect to the small sheets, and the small sheets can directly purchase the medicines in the page according to the requirements.

In the embodiment of the application, the medicine management application can comprehensively acquire the medicine use information of the user, no matter which hospital the user diagnoses or at which pharmacy the medicine is purchased, so that the current epidemic diseases can be accurately analyzed by using the use information of the health supplies acquired by the medicine management application, the user can be helped to make prevention preparation in advance, and the probability of large-area diffusion of the diseases is reduced.

The data processing method described in the present application is described in detail below with reference to the drawings. Fig. 7 is a schematic method flow diagram of an embodiment of a data processing method provided in the present application. Although the present application provides method steps as shown in the following examples or figures, more or fewer steps may be included in the method based on conventional or non-inventive efforts. In the case of steps where no necessary causal relationship exists logically, the order of execution of the steps is not limited to that provided by the embodiments of the present application. The method can be executed in sequence or in parallel according to the method shown in the embodiment or the figure when the method is executed in an actual data processing process or a device (for example, a parallel processor or a multi-thread processing environment).

Specifically, as shown in fig. 7, an embodiment of the data processing method provided in the present application may include:

s701: the method comprises the steps of obtaining health supply use information of a plurality of users, wherein the health supply use information at least comprises user attribute information and health supply information which are related to the users and health management information corresponding to the health supply information.

S703: determining health supply usage advice for first user attribute information based on the health supply usage information of the plurality of users.

S705: sending the health care usage suggestion to one or more user accounts having the first user attribute information.

In the embodiment of the present application, the health product may include products related to the health of the user, such as medicines, health products, health appliances, and the like, and the health appliances may include fitness equipment, fitness courses, and the like. First, health product use information of a plurality of users may be acquired, where the health product use information may include at least user attribute information, health product information, and health management information corresponding to the health product information, which are associated with the plurality of users. In an embodiment of the present application, the implementation subject may include a background server of a health product management application, and the health product management application may include application software installed on a client for managing information of personal or family health products, for example, the health product management application may include a drug management application, a fitness management application, a health product management application, and the like, and may also include an application integrating any combination of the above application functions, which is not limited herein. The client may include a mobile smart phone, a computer (including a laptop computer and a desktop computer), a tablet electronic device, a Personal Digital Assistant (PDA), or an intelligent wearable device, and may also include an entity device, such as an intelligent medicine box, an intelligent sports apparatus, and the like, which is not limited herein.

In an embodiment of the present application, the health product usage information may include information generated by a user using the health product. In the health product usage information, the user attribute information may include personal information of a user who uses the health product, such as sex, age or age group, region, basic body information (such as height, weight, BMI, and the like), medical history information, whether the user belongs to a preset special group, and the like. In one example, in a case where the health product includes a medicine, since the medicine has a function of curing or alleviating a disease and the user attribute information is analyzed to have a correlation with the disease, it may be determined that users having the same user attribute information have a certain probability of having the same disease or show the same disease symptom. For example, children under 5 years old are prone to suffer from hand-foot-and-mouth disease, middle-aged and elderly people over 50 years old are prone to suffer from hypertension, hyperlipidemia, hyperglycemia, esophageal diseases (due to lack of fresh vegetables, frequent eating of pickled foods), allergy of users with blood type O, cerebral infarction and other diseases of users with blood type A, and the like. The preset special population can comprise populations with more people, such as gestational users, lactation users, senile dementia users, various chronic diseases users and the like. It should be noted that the user attribute information is not limited to the above examples, and the related user attribute information may be different for different health products, for example, in the case that the health product includes a fitness apparatus or a fitness course, the related user attribute information may include physical information of the user, and other modifications may be made by those skilled in the art within the spirit of the present application, but the present application is within the scope of the present application as long as the functions and effects achieved by the present application are the same or similar.

In an embodiment of the present application, the health management information may include health information for management of the health product. The health management information may include disease information, symptom information, body information, nutrient information, and the like. In one embodiment, where the health supply information includes drug information, the corresponding health management information may include disease information, symptom information, and the like. In another embodiment, where the health supply information includes health product information, the corresponding health management information may include nutrient information or the like. In the case where the health product information includes fitness equipment and fitness courses, the corresponding health management information may include symptom information and body information, and the body information may include, for example, height, weight, BMI, BMR, body fat rate, muscle mass, body water rate, and the like. It should be noted that, in other embodiments, the health product information further includes other product information related to the health of the user, and the corresponding health management information also includes the health information managed by the health management information, which is not limited herein.

In the embodiment of the application, the health supplies use information of the user can be acquired in various ways. In one embodiment, an electronic shopping document of a user can be obtained, the electronic shopping document can comprise health information of the user and a health supply list, and the health supply list can comprise at least one health supply information. For example, a user may purchase a medicine on a vending platform (hereinafter, referred to as a medicine vending platform), and the purchase may include online or offline purchase, which is not limited herein. During the purchase of a drug, the user needs to provide health information, i.e., medical information, which may include, for example, a prescription order. Under the scene of off-line purchase, a user provides electronic medical information or paper medical information to a medicine selling platform, and the medicine selling platform can record the information of a prescription list into a computer storage system. In the online purchase scenario, the user may upload electronic medical information or photographs of medical information. Of course, the medical information is not limited to the prescription list, and may also include medical records of the user or other information that can prove the medical condition of the user, and is not limited herein. The drug list may include a list of drugs purchased by the user on the drug vending platform. After the electronic medicine purchase order of the user is obtained, the user attribute information, the health product information (i.e., the information of the medicines in the medicine list) and the health management information corresponding to the health product information, i.e., the disease information of the user can be obtained from the medical information. Of course, in other embodiments, in the electronic shopping receipt for purchasing the fitness course, the electronic shopping receipt may also include the health information of the user and the course list, and the health information may include, for example, the physical information of the user, such as height, weight, BMI, BMR, body fat rate, muscle mass, body water rate, and the like. The lesson list may include at least one workout, and the information about the workout may include an exercise goal, an exercise location, a length of time, an amount of energy consumed, and the like for the lesson.

In a practical application environment, many health supplies are purchased by a user from a store, a fitness structure, a hospital or a pharmacy, and therefore, the user is required to manually input health supply use information into a health supply management application. In this embodiment of the application, a user may input user attribute information, health management information, and health product information in the health product management application. The user attribute information may not be input every time health product usage information is input, for example, the user attribute information of the user himself or other family members is input into the health product management application when the user account of the health product management application is registered. Therefore, in the process of inputting the use information of the health supplies, the user can select the corresponding user, and the use information of the health supplies can automatically acquire the user attribute information of the corresponding user. In the case that the health product is a medicine, as described above, the user attribute information may also include medical history information of the user, and then, in the process of inputting health management information, that is, disease information, by the information input user, the medicine management application may further automatically acquire the disease information that the corresponding user has suffered from according to the medical history information and display the information to the information input user. The information input user may select disease information from the drug management application, or may enter new disease information by itself.

Because the information related to the health product information is various, if the information needs to be manually input every time, much effort needs to be consumed, and based on the fact, the health product identification information of the health product can be input in the process of manually inputting the health product use information. Therefore, the health product information of the health product can be acquired from a database according to the health product identification information. The health product identification information in the embodiment of the present application may include information for identifying uniqueness of the health product, and in some examples, for a drug, the drug identification information may include a drug administration code, a drug location code, a drug tracing code, and the like. The mode of the user inputting the identification information of the health supplies can comprise a plurality of input modes such as character input, voice input, code scanning input, photographing input and the like. Based on this, the server of the health product management application may obtain an association relation database between the health product identification information and the health product information, and the association relation database may store a correspondence between the health product identification information and the health product information, that is, the corresponding health product information may be determined according to the health product identification information. In the embodiment of the present application, after determining the health product information corresponding to the health product identification information, the user attribute information, the health management information, and the health product information may be associated to generate the health product usage information of the user.

Of course, in other embodiments, the health product usage information may be manually input by the user according to the prompt, and the method for acquiring the health product usage information of the user is not limited in the present application.

In the embodiment of the application, the health product use information of a plurality of users can be acquired by using the method in the embodiment. The health supply usage information of the plurality of users may then be processed to determine a health supply usage recommendation for the first user attribute information.

In the embodiment of the application, the health product use suggestion can be based on the influence degree of the health product on the health of the user, such as the treatment effect of medicines, the body building effect of body building courses, the effect of supplementing nutrients to health products and the like. In the embodiment of the application, the health product use feedback request can be sent to the user after the user uses the health product for a preset time period. After receiving the health supply use feedback request, the user can generate health supply use feedback information and return the health supply use feedback information. The health product use feedback information can comprise treatment effect information of the medicine on corresponding diseases, body building effect information of body building courses, effect information of nutrient supplement of health products and the like. In this embodiment, the preset time period may include a time period of one week, ten days, and the like, and specifically, for a medicine, the preset time period may include a time of one course of taking the medicine acquired when the medicine usage information is generated, for a fitness course, the preset time period may include a time of one exercise cycle, and the like, which is not limited herein. The health product use feedback request may include information that the user feeds back on the health product use effect, for example, a selection questionnaire may be provided to request the user to answer, and in some examples, the user may be asked to "is the user's disease cured? "," how many days after the administration of the drug are better? "," has no side effects? "," how much the BMI value is adjusted? "," does there exist fatigue elimination after using the health care product? "and the like.

In the embodiment of the application, according to the health product use feedback information, the target health product information of the user with the first user attribute information for at least one type of health management information can be determined. The first user attribute information may include specific user attribute information, such as middle aged or elderly people, children, postpartum women, and the like. Such as target medicines for hypertension diseases of middle-aged and elderly people, target health care products for zinc deficiency of children, target fitness equipment or fitness courses for abdominal fat accumulation of postpartum women. In one example, for multiple drugs for the hand-foot-and-mouth disease of children of 0-5 years old, a drug use feedback request can be sent after the children take the drugs for one week to obtain the treatment effect information of the various drugs on curing the hand-foot-and-mouth disease of the children. For example, a family uses drug A, and the child is basically cured after taking a week according to the drug use feedback information, while another family uses drug B, and the child does not get better after taking a week according to the drug use feedback information. Based on the above, one or more medicines with better effect for treating the disease can be counted according to the feedback information of the treatment effect of the medicines used for treating the same disease by a plurality of users. For example, in the above examples, among the therapeutic drugs for hand-foot-and-mouth disease in children of 0 to 5 years old, drug a has a good therapeutic effect, a short cycle and no side effects. In addition, a drug use recommendation for the hand-foot-and-mouth disease of the children aged 0-5 can be generated, namely, at least one drug including drug A is recommended to the family of the children aged 0-5. In another example, a variety of fitness classes are aimed at abdominal fat deposits in postpartum women. According to the use feedback information of a plurality of users, one fitness course is determined to have good effect and no side effect, and the fitness course can be shared with postpartum women.

Of course, in other embodiments, according to the health product usage feedback information, the usage effect of the specified health product may also be determined, and the usage effect may be quantified, for example, a score of a generated medicine, a score of a health product, and a score of a fitness course. Therefore, the use effect of the health supplies can be known to the user or the platform selling the health supplies in a big data mode. The application does not limit the information that can be obtained according to the health supplies using the feedback information. In addition, the generated health product use advice is not limited to the above example, for example, health product use advice for the pregnant population suffering from cold diseases, health product use advice for the blood group O user suffering from allergic diseases, and the like can be generated, and other modifications are possible by those skilled in the art based on the technical spirit of the present application, but the present application is intended to cover the scope of the present application as long as the achieved functions and effects are the same as or similar to the present application.

In an embodiment of the application, the number of users of the first user attribute information corresponding to different health management information in a latest preset time period may be counted according to the health product usage information, and a health product usage suggestion for at least one type of health management information of the first user attribute information is determined when it is determined that the number of users meets a preset condition. In the actual application environment, many diseases are paroxysmal diseases or seasonal diseases, especially epidemic diseases, infectious diseases, allergic diseases such as rhinitis which prevails in spring, and global influenza. Paroxysmal or seasonal diseases are often characterized by short outbreak time, concentration in a certain area or obvious period, and the like, especially paroxysmal epidemic diseases, the outbreak time is short, the infection speed is high, and the diseases can be expanded to many areas when the diseases are discovered and prepared to be controlled. Based on this, in one example, the currently popular disease information, especially sudden diseases or seasonal diseases, may be determined by counting the medicine usage information of a plurality of users within a recent preset time period. For another example, according to data statistics of the last year, young users between 15 and 35 years old who purchase shoulder and neck yoga courses and shoulder and neck sports equipment are found to be increased, and the users generally have symptoms of cervical vertebra ache, dizziness and the like. According to investigation and analysis, the time for using the electronic product by young users every day is greatly increased, and if the users do not use the electronic product in the right posture, the strain of cervical vertebra and shoulders can be easily caused, and the cervical spondylosis can be developed in serious cases.

In an embodiment of the present application, the last preset time period may be set to be the last three days, the last five days, the last week, the last quarter, the last year, and the like, and specifically, what type of health management information is set may be known as needed, for example, for a sudden disease, the last preset time period may be set to be the last few days, for example, for a seasonal disease, the last preset time period may be set to be the time of the last quarter, and for some health phenomena that require long-term observation to reach a conclusion, such as a cervical vertebra problem of an adolescent, the last preset time period may be set to be the last at least one year, which is not limited herein.

In practical application scenarios, when a user suffers from a disease and has symptoms, the user usually goes to a hospital to treat the disease and obtains a medicine, or the user feels sub-healthy, and usually purchases a health care product, a fitness course or a fitness instrument. Based on the health product use suggestion, when the number of users of the first user attribute information corresponding to certain health management information is determined to meet the preset condition, the health product use suggestion aiming at least one health management information of the first user attribute information can be determined. In an embodiment of the application, the preset condition may include that the increment of the number of users per unit time is greater than a preset increment threshold, for example, the user increment per day is greater than 200 persons in the preset time period. In another embodiment, the preset condition may further include that the number of users is greater than a preset number threshold, for example, the total number of users is greater than 2000. Of course, the preset condition may also include any other condition that can indicate that the number of users corresponding to certain health management information exceeds the expected number, which is not limited herein. In one example, according to the medicine use information of a plurality of users acquired by the medicine management application, the number of people suffering from flu in the last week time of the users in the area A is found to be increased sharply, and the increment of each day is 1000 times and is larger than a preset increment threshold value, so that the flu can be used as a sudden disease in the area A. In another example, based on the exercise usage information of multiple users obtained by the exercise management application, a user population between 15 and 35 years old with symptoms of shoulder and neck soreness and dizziness occurring in the last year is found to increase dramatically, and the increment per month is 5000 people times greater than a preset increment threshold.

In an embodiment of the application, the determining the health product usage suggestion for the first user attribute information may include sending corresponding health management information to the user having the first user attribute, and providing health product information for the health management information. For example, in the above example, information about flu may be sent to users in zone a, and information about medications that may be treated or prevented may be provided. For another example, the information of the symptoms of shoulder and neck ache and dizziness of many young people can be sent to the user population of 15-35 years old, and the information of fitness equipment and fitness courses for relieving the shoulder and neck ache and preventing cervical spondylosis can be provided.

In the embodiment of the application, in the process of determining which health product information is provided, the number of users of different health product information corresponding to the health management information can be determined according to the health product use information, and the health product use suggestion aiming at the first user attribute is determined according to the number of the users. For example, in the above example, of the plurality of medicines used by influenza patients in region a, the number of patients using B medicine is the largest, and therefore, B medicine may be recommended to users in region a (i.e., the first user attribute). As another example, the yoga class designed by the XX teacher is most used by the population of users between 15 and 35 years old, and therefore may be recommended to the population of users between 15 and 35 years old (i.e., the first user attribute). Certainly, in other embodiments, the health supplies recommended to the user may be determined according to the degree of improvement of the health supplies on the health of the user, and the method of recommending the health supplies to the user is not limited in the present application.

In the embodiment of the application, the health product use suggestion can be adjusted or generated based on management configuration parameters, and the management configuration parameters can be set by background management personnel. In some implementations, it may be difficult to determine health management information or corresponding health product information due to, for example, the stricter thresholds that are set. Based on this, in the embodiment of the application, at least part of the information in the health product use suggestion can be determined in a manner of combining manual processing. In one example, for health product information corresponding to health management information, if the number of people using a corresponding health product of certain health management information is greater than a preset number threshold, the health product is recommended to the user with the first user attribute information. However, if there is no health product information corresponding to the health management information, the corresponding health product information may be determined by the management configuration parameter, for example, the preset number of people threshold is manually decreased, or the health product information with the largest number of people is used as the recommended health product information. Of course, the management configuration parameters are not limited to the number threshold and the recommendation manner, and may also include the number of recommended health product information, whether to add a new product, a recommended user range (e.g., expanding the user range), and the like, which is not limited herein.

In an embodiment of the application, in the process of recommending the health product use suggestion to the user with the first user attribute information, the health product use suggestion may be sent to one or more user accounts with the first user attribute information. In this embodiment of the application, the user account may include a user account of a health product management application, and may also include other applications or devices associated with the health product management application, where the devices may include, for example, smart home devices such as a bracelet and a smart speaker, or smart wearable devices, which is not limited herein.

According to the data processing method provided by the embodiment of the application, the health supply use information of a plurality of users can be obtained, and the health supply use suggestion aiming at the attribute information of a specific user is determined according to the health supply use information of the users. According to the embodiment of the application, big data about the use of the health supplies can be collected from a plurality of users, health supply use suggestions about characteristic user attribute information are obtained after the big data are processed, and finally the health supply use suggestions are returned to the users. In this way, health management information of specific user attribute information, such as disease information, health problems and the like, can be mined from big data, and health supplies with better effects are recommended to users.

Corresponding to the above data processing method, as shown in fig. 8, the present application further provides a data processing apparatus, including a processor and a memory for storing processor-executable instructions, where the processor executes the instructions to implement:

Optionally, in an embodiment of the present application, the processor when implementing the step of obtaining health product usage information of a plurality of users includes:

respectively acquiring electronic shopping receipts of a plurality of users, wherein the electronic shopping receipts comprise health information of the users and a health article list, and the health article list comprises at least one type of health article information;

extracting health supply usage information for the at least one health supply information from the electronic purchase document.

receiving user attribute information, health information and corresponding health article identification information;

determining health product information corresponding to the health product identification information;

and generating the health product use information after associating the user attribute information, the health information and the health product information.

Optionally, in an embodiment of the present application, in a case that the health product includes a medicine, the health product identification information includes one of: medicine supervision code, medicine home position code, medicine trace back code.

Optionally, in an embodiment of the present application, the health product usage information further includes health product usage feedback information, and the health product usage feedback information is configured to be obtained according to the following manner:

after a user uses the health supplies corresponding to the health supply information for a preset time period, sending a health supply use feedback request;

receiving health supply use feedback information aiming at the health supply use feedback request, wherein the health supply use feedback information comprises the influence degree of the health supply on the health of the user.

Optionally, in an embodiment of the present application, the processor, when implementing the step of determining the health supply usage suggestion for the first user attribute information according to the health supply usage information of the plurality of users, includes:

and determining target health supply information of the user with the first user attribute information aiming at least one health management information according to the health supply use feedback information.

counting the number of users of the first user attribute information corresponding to different health management information in the latest preset time period according to the health article use information;

determining a health supply usage suggestion for at least one health management information of the first user attribute information if the number of users is determined to meet a preset condition.

Optionally, in an embodiment of the application, the processor, when implementing the step of determining the health supply usage suggestion for at least one health management information of the first user attribute information in the case that the number of users is determined to meet the preset condition, includes:

determining health management information of which the number of users meets preset conditions;

determining the number of users of different health supplies information corresponding to the health management information according to the health supplies use information;

and determining health supply use suggestions of the health management information aiming at the first user attribute information according to the number of users of different health supply information corresponding to the health management information.

Optionally, in an embodiment of the present application, the health product usage advice includes corresponding health management information, and health product information for the health management information.

Optionally, in an embodiment of the present application, the health care usage advice is arranged to be adjusted or generated based on the management configuration parameter.

Optionally, in an embodiment of the present application, the user attribute information includes at least one of: gender, age, region, blood type, medical history, body information, whether the patient belongs to a preset special population.

Optionally, in an embodiment of the present application, the user account includes a smart home device or a smart wearable device that includes the first user attribute information.

In another aspect, the present application further provides a computer-readable storage medium, on which computer instructions are stored, and the computer instructions, when executed, implement the steps of the data processing method according to any one of the above embodiments.

The computer readable storage medium may include physical means for storing information, typically by digitizing the information for storage on a medium using electrical, magnetic or optical means. The computer-readable storage medium according to this embodiment may include: devices that store information using electrical energy, such as various types of memory, e.g., RAM, ROM, etc.; devices that store information using magnetic energy, such as hard disks, floppy disks, tapes, core memories, bubble memories, and usb disks; devices that store information optically, such as CDs or DVDs. Of course, there are other ways of storing media that can be read, such as quantum memory, graphene memory, and so forth.

In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Hardware Description Language), traffic, pl (core universal Programming Language), HDCal (jhdware Description Language), lang, Lola, HDL, laspam, hardward Description Language (vhr Description Language), vhal (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.

The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: the ARC625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.

The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the units may be implemented in one or more software and/or hardware when implementing the present application.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory. The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A method of data processing, the method comprising:

2. The data processing method of claim 1, wherein the obtaining health supply usage information of a plurality of users comprises:

3. The data processing method of claim 1, wherein the obtaining health supply usage information of a plurality of users comprises:

4. The data processing method of claim 3, wherein in the case that the health supply comprises a pharmaceutical, the health supply identification information comprises one of: medicine supervision code, medicine home position code, medicine trace back code.

5. The data processing method of claim 1, wherein the health supply usage information further comprises health supply usage feedback information, and the health supply usage feedback information is configured to be obtained as follows:

6. The data processing method of claim 5, wherein determining a health supply usage recommendation for first user attribute information based on the health supply usage information of the plurality of users comprises:

7. The data processing method of claim 1, wherein determining a health supply usage recommendation for first user attribute information based on the health supply usage information of the plurality of users comprises:

8. The data processing method of claim 7, wherein the determining a health care usage recommendation for at least one health management information of the first user attribute information if the number of users is determined to satisfy a preset condition comprises:

9. The data processing method of claim 1, wherein the health supply usage recommendation includes corresponding health management information and health supply information for the health management information.

10. The data processing method of claim 1, wherein the health care usage recommendation is configured to be adjusted or generated based on a management configuration parameter.

11. The data processing method of claim 1, wherein the user attribute information comprises at least one of: gender, age, region, blood type, medical history, body information, whether the patient belongs to a preset special population.

12. The data processing method according to claim 1, wherein the user account includes smart home devices or smart wearable devices having the first user attribute information.

13. A data processing apparatus comprising a processor and a memory for storing processor-executable instructions, the instructions when executed by the processor performing:

14. The data processing apparatus of claim 13, wherein the processor, in implementing the step of obtaining health supply usage information for a plurality of users, comprises:

15. The data processing apparatus of claim 13, wherein the processor, in implementing the step of obtaining health supply usage information for a plurality of users, comprises:

16. The data processing apparatus of claim 15, wherein in the case that the health supply comprises a pharmaceutical, the health supply identification information comprises one of: medicine supervision code, medicine home position code, medicine trace back code.

17. The data processing device of claim 13, wherein the health supply usage information further comprises health supply usage feedback information configured to be obtained as follows:

18. The data processing apparatus of claim 17, wherein the processor, in implementing the steps to determine a health supply usage recommendation for first user attribute information based on the health supply usage information for the plurality of users, comprises:

19. The data processing apparatus of claim 13, wherein the processor, in implementing the steps to determine a health supply usage recommendation for first user attribute information based on the health supply usage information for the plurality of users, comprises:

20. The data processing apparatus of claim 19, wherein the processor, in implementing the steps in determining a health care usage recommendation for at least one health management information of the first user attribute information if the number of users is determined to satisfy a preset condition, comprises:

21. The data processing apparatus of claim 13, wherein the health supply usage recommendation includes corresponding health management information and health supply information for the health management information.

22. The data processing method of claim 13, wherein the health care usage recommendation is configured to be adjusted or generated based on a management configuration parameter.

23. The data processing apparatus of claim 13, wherein the user attribute information comprises at least one of: gender, age, region, blood type, medical history, body information, whether the patient belongs to a preset special population.

24. The data processing apparatus of claim 13, wherein the user account comprises a smart home device or a smart wearable device having the first user attribute information.

25. A non-transitory computer readable storage medium, wherein instructions, when executed by a processor, enable the processor to perform the data processing method of any one of claims 1-12.