CN112133433B - Community big health information processing method and device based on detection data - Google Patents
Community big health information processing method and device based on detection data Download PDFInfo
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Abstract
The invention discloses a community big health information processing method and device based on detection data, wherein the method comprises the following steps: obtaining health condition information of the first user from first detection data information of the first user; obtaining consumption record information and first consumption item category information of the first user; by means of judgment, if the first consumer goods category information is relevant to the health condition information of the first user, first topic information concerned by the first user is obtained; when the first topic information has a first influence degree on the first user, first instruction information is obtained, namely second topic information is pushed to the first user in a preset time. According to the technical scheme, accurate analysis data of the degree of influence of public opinion on the body health of the user is obtained, and the technical purposes of effectively relieving the emotion of the user and improving the health condition of the user can be achieved based on data information.
Description
Technical Field
The invention relates to the field of community big health information processing methods, in particular to a community big health information processing method and device based on detection data.
Background
The community big health service system comprises health detection, health assessment, health intervention, health scheme implementation, health tracking and the like, and community residents can know the self health state and relevant standard data anytime and anywhere and further guide the residents to conduct dynamic health intervention until the health state is obtained and maintained. Along with the continuous development of the big health concept of China, the community health management service and the health construction of China are well developed; from the aspect of health construction, the community health facilities in China are laid well basically. However, compared with the social development speed of China, the current community health management system of China is still in a relatively laggard stage.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
the influence degree of the public opinion on the user is analyzed by missing the data, so that the influence degree of the public opinion on the body health of the user cannot be accurately judged by combining the public opinion information, and the data effectiveness is poor.
Disclosure of Invention
The embodiment of the application provides a community big health information processing method and device based on detection data, solves the technical problems of data loss and poor data effectiveness of public opinion on user influence degree analysis in the prior art, achieves accurate analysis data of public opinion on user body health influence degree, and can achieve the technical effects of effectively relieving user emotion and improving user health condition based on data information.
The embodiment of the application provides a community big health information processing method based on detection data, wherein the method comprises the following steps: obtaining first detection data information of a first user, wherein the first user is a resident of a first community; acquiring health condition information of the first user according to the first detection data information; obtaining consumption record information of the first user; obtaining first consumer goods category information according to the consumption record information of the first user; determining whether the first consumer item category information has a correlation with the health condition information of the first user; if the first consumer item category information has correlation with the health condition information of the first user, obtaining first topic information concerned by the first user according to the first consumer item category information; judging whether the first topic information has a first influence degree on the first user; when the first topic information has a first influence degree on the first user, first instruction information is obtained, wherein the first instruction information is that second topic information is pushed to the first user in a preset time.
On the other hand, the application also provides a community big health information processing device based on detection data, wherein the device comprises: a first obtaining unit configured to obtain first detection data information of a first user, wherein the first user is a resident of a first community; a second obtaining unit, configured to obtain health condition information of the first user according to the first detection data information; a third obtaining unit configured to obtain consumption record information of the first user; a fourth obtaining unit, configured to obtain first consumer item category information according to the consumption record information of the first user; a first judging unit configured to judge whether the first consumer item category information and the health condition information of the first user have a correlation; a fifth obtaining unit, configured to obtain first topic information focused on by the first user according to the first consumer item category information if the first consumer item category information has a correlation with the health condition information of the first user; a second determination unit, configured to determine whether the first topic information has a first influence on the first user; a sixth obtaining unit, configured to obtain first instruction information when the first topic information has a first influence degree on the first user, where the first instruction information is to push second topic information to the first user at a predetermined time.
In another aspect, an embodiment of the present application further provides a community big health information processing apparatus based on detection data, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method according to any one of claims 1 to 8 when executing the program.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
the method and the device have the advantages that the consumer goods purchased by the user are determined by analyzing the purchasing characteristics of the user, the relation between the consumer goods and the health condition of the user is determined, if the first user purchases the consumer goods related to the health condition of the first user, the hot topic concerned by the user is further determined, the influence degree of the topic on the health condition of the user is further obtained by analyzing public opinion information, the technical purpose of accurately judging the influence degree of the public opinion on the physical condition of the user by combining the public opinion information is achieved, the first instruction information is corrected by judging whether to push the second topic to the first user or not and obtaining the professional information of the first user, and therefore the technical effects of effectively relieving working pressure and improving the health condition of the user are achieved.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
FIG. 1 is a schematic flowchart illustrating a method for processing community big health information based on detection data according to an embodiment of the present application;
fig. 2 is a schematic flowchart illustrating a process of obtaining health condition information of the first user in a community big health information processing method based on detection data according to an embodiment of the present application;
fig. 3 is a schematic flowchart illustrating a process of obtaining the preset diet identification information in a community health information processing method based on detection data according to an embodiment of the present application;
fig. 4 is a schematic flowchart illustrating a process of obtaining the preset motion identifier information in a community health information processing method based on detection data according to an embodiment of the present application;
fig. 5 is a schematic flowchart illustrating a process of obtaining first topic information focused by the first user in a community big health information processing method based on detection data according to an embodiment of the present application;
fig. 6 is a schematic flowchart illustrating a process of modifying the first instruction information in the community big health information processing method based on detection data according to the embodiment of the present application;
FIG. 7 is a schematic flowchart illustrating a process of obtaining second instruction information in a community big health information processing method based on detection data according to an embodiment of the present application;
fig. 8 is a schematic flowchart illustrating a process of determining an influence degree of a community environment on a user's physical health in a community big health information processing method based on detection data according to an embodiment of the present application;
FIG. 9 is a schematic structural diagram of a community big health information processing apparatus based on detection data according to an embodiment of the present application;
FIG. 10 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application;
description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a first judging unit 15, a fifth obtaining unit 16, a second judging unit 17, a sixth obtaining unit 18, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 306.
Detailed Description
The embodiment of the application provides a community big health information processing method and device based on detection data, solves the technical problems of data loss and poor data effectiveness of public opinion on user influence degree analysis in the prior art, achieves accurate analysis data of public opinion on user body health influence degree, and can achieve the technical effects of effectively relieving user emotion and improving user health condition based on data information. Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
Summary of the application
With the continuous development of the big health concept in China, the community health management service and the health construction in China are well developed, but compared with the social development speed in China, the current community health management system in China is still in a relatively backward stage, and the prior art also has the technical problems that the influence degree of public opinion on users is lost, the influence degree of the public opinion on the body health of the users cannot be accurately judged by combining public opinion information, the data validity is poor and the like.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides a community big health information processing method based on detection data, wherein the method comprises the following steps: obtaining first detection data information of a first user, wherein the first user is a resident of a first community; acquiring health condition information of the first user according to the first detection data information; obtaining consumption record information of the first user; obtaining first consumer goods category information according to the consumption record information of the first user; determining whether the first consumer item category information has a correlation with the health condition information of the first user; if the first consumer item category information has correlation with the health condition information of the first user, obtaining first topic information concerned by the first user according to the first consumer item category information; judging whether the first topic information has a first influence degree on the first user; when the first topic information has a first influence degree on the first user, first instruction information is obtained, wherein the first instruction information is that second topic information is pushed to the first user in a preset time.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, an embodiment of the present application provides a method and an apparatus for processing community big health information based on detection data, where the method includes:
step S100: obtaining first detection data information of a first user, wherein the first user is a resident of a first community;
specifically, the first detection data information of the first user is health physical examination data of residents performed by residents in community hospitals of residential areas, and the data includes various physical condition indexes of the first user, such as blood pressure, blood sugar, blood fat, physical examination, and the like. The system establishes the personal health record of residents by collecting physical examination data information of the resident health, is beneficial to continuously managing the health of the residents, and is an important tool for collecting and recording the health information of the residents in the community health service work. The first detection data of the first user are obtained, the data effectiveness is improved, and an effective basis is laid for judging the influence degree of public opinion on the body health of the user.
Step S200: acquiring health condition information of the first user according to the first detection data information;
specifically, the first detection data includes various vital sign information of the first user, and the health condition information of the first user is obtained by performing comprehensive analysis and evaluation on various indexes of the first resident in the first monitoring data, so that a foundation is laid for subsequent detection and analysis.
Step S300: obtaining consumption record information of the first user;
specifically, the payment bill information of the first user is derived from a user mobile phone terminal through user authorization, wherein the payment bill information comprises consumption time, consumption amount and consumption article category information of the first user. The consumption record information of the first user can obtain the consumption article category of the first user in the specified time required by the subsequent analysis, and a foundation is laid for the subsequent investigation and analysis.
Step S400: obtaining first consumer item category information according to the consumption record information of the first user;
specifically, the first consumer goods category information is the information of the category of the consumer goods of the first user at a certain time node, which is obtained from the consumption record information of the first user; the consumption demand of the first user at a certain time can be known from the first consumer goods category information, so that a foundation is laid for further analyzing and judging the health condition information of the first user and the influence degree of follow-up public opinion on the first user.
Step S500: determining whether the first consumer item category information has a correlation with the health condition information of the first user;
specifically, the psychological or physiological need information of the first user can be known from the category information of the first consumer goods, and if the correlation with the health condition of the first user is high, the cause analysis of the health condition of the first user can be performed. For example, if the first consumer item is a hypotensor and the first user health status information indicates that the first user has hypertension, the first consumer item may further analyze the cause, time, whether the symptom is sudden, whether the symptom is caused by an external factor, and the like. And a foundation is laid for obtaining the data of the degree of influence of public opinion on the first user.
Step S600: if the first consumer item category information has relevance with the health condition information of the first user, obtaining first topic information concerned by the first user according to the first consumer item category information;
specifically, if the correlation between the first consumer item category information and the health condition information of the first user is high, it is proved that the recent demand of the user for the product is high, and then the factors causing the health condition of the first user need to be further analyzed. The first topic information is topic information with high recent attention of the first user, and the first user generates certain consumption requirements through a hot topic by paying attention to a certain topic. By analyzing the first topic information, the real effectiveness of obtaining the influence degree data of the public opinion on the first user is improved.
Step S700: judging whether the first topic information has a first influence degree on the first user;
specifically, the first influence degree is the influence degree of the first topic information on the first user, and is reflected in the influence of the topic information concerned by the first user on the self health of the first user, such as the emotion and the heart rate of the first user. The first influence degree can be obtained by wearing an electronic bracelet for the first user, obtaining the change values of the heart rate, the pulse, the blood pressure and the like of the user, and judging whether the first user has emotions such as tension and anxiety by combining the physical condition of the user. The first influence degree is obtained, the accuracy of analyzing the influence degree of the public opinion information on the first user is improved, and corresponding measures are taken for the follow-up influence degree of the public opinion on the user, so that a foundation is laid for effectively relieving the emotion of the user.
Step S800: when the first topic information has a first influence degree on the first user, first instruction information is obtained, wherein the first instruction information is that second topic information is pushed to the first user in a preset time.
Specifically, the instruction information is to push second topic information to the first user at a preset time; the second topic information is the acquired hobby related information or occupation, family life and other information of the first user, and is generated by analyzing the interestingness of the first user. The second topic information is pushed for the user in the preset time, so that the technical aims of effectively dispersing the attention of the user and relieving the emotion of the user are achieved.
As shown in fig. 2, in order to further obtain the health condition information of the first user, step S200 of the application embodiment further includes:
step S201: obtaining first sleep information of the first user;
step S202: inputting the first sleep information into a training model, wherein the training model is obtained by training a plurality of sets of training data, and each set of training data in the plurality of sets of training data comprises: the first sleep information, the preset diet identification information and the preset exercise identification information;
step S203: obtaining output information of the training model, wherein the output information comprises sleep quality grade information of the first user;
step S204: obtaining the prior medical history information of the first user;
step S205: and acquiring the health condition information of the first user according to the past medical history information of the first user and the sleep quality grade information of the first user.
Specifically, the training model is a machine learning model, and the machine learning model can continuously learn through a large amount of data, further continuously modify the model, and finally obtain satisfactory experience to process other data. Each set of training data in the plurality of sets of training data comprises: the first sleep information, the preset diet identification information and the preset exercise identification information.
Furthermore, because the sleep quality grade information is obtained by the joint influence of the diet information, the exercise information and the like, the first sleep information, the preset diet identification information and the preset exercise identification information are input into a training model, so that the accurate sleep quality grade information of the first user is finally obtained, and the accuracy and the effectiveness of data are improved. The past medical history information of the first user is the past medical history of the first user, in particular to heart, lung, liver, spleen and kidney which are important organs, epilepsy history and mental medical history. By analyzing the correlation between the past medical history information of the first user and the sleep quality of the first user, more accurate health condition information of the first user is obtained, and the accuracy of the obtained information is improved.
As shown in fig. 3, in order to obtain the preset meal identification information, step S202 of the application embodiment further includes:
step S2021a: obtaining a diet regularity of the first user;
step S2022a: obtaining a dietary nutritional indicator for the first user;
step S2023a: and obtaining preset diet identification information according to the diet regularity of the first user and the diet nutritional index of the first user.
Specifically, the eating regularity of the first user comprises: whether to take food regularly and quantitatively; whether to scientifically distribute the calories of three meals; frequency of eating snacks; whether diet and exercise are combined, and the like. The dietary nutritional indicator is a prescribed indicator of the amount of nutritional intake in the first user's daily food. The first user uploads diet every day through the APP of record diet through shooing, and its ingested food and intake information of picture information recognition are passed through, obtain through calling up APP backstage information the first user's diet information of ingesting every day, according to first user's diet regularity with first user's diet nutrition index, obtain first user's the diet identification information of predetermineeing, predetermine diet identification information and be used for the sign first user's diet information. The accuracy of the subsequent analysis of the health condition of the first user is improved.
As shown in fig. 4, in order to obtain the preset motion identifier information, step S202 of the application embodiment further includes:
step S2021b: obtaining the number of the week exercises of the first user;
step S2022b: obtaining the weekly exercise duration of the first user;
step S2023b: obtaining the exercise product of the first user according to the number of the weekly exercise of the first user and the weekly exercise duration of the first user;
step S2024b: and obtaining preset motion identification information according to the motion product limit of the first user.
Specifically, the number of the weekly exercises of the first user is the average number of the weekly exercises of the first user; the weekly movement duration of the first user is the average weekly movement duration of the first user; the exercise frequency, exercise duration and other information of the user per week can be obtained through the exercise bracelet worn by the first user, and the exercise volume of the first user is obtained according to the exercise frequency and the exercise duration of the first user; the extreme exercise product of the first user is an index for measuring the exercise aggressiveness of the first user; acquiring preset motion identification information according to the extreme motion product of the first user; the preset motion identification information is used for identifying the motion information of the first user. The accuracy of the subsequent analysis of the health condition of the first user is improved.
As shown in fig. 5, in order to obtain the first topic information focused on by the first user according to the first consumer item category information, step S600 of the application embodiment further includes:
step S601: obtaining related topic information of the first consumer goods according to the category information of the first consumer goods;
step S602: obtaining a first click volume of the first user on a first consumer related topic;
step S603: obtaining a first attention degree of the first user to a first consumer related topic according to the first click volume;
step S604: judging whether the first attention exceeds a first preset threshold value or not;
step S605: when the first attention exceeds a first preset threshold value, first topic information concerned by the first user is obtained.
Specifically, the related topic information of the first consumer item is obtained according to the category information of the first consumer item, and the attention of the first user to the related topic is further obtained according to the click rate of the first user to the topic. The first preset threshold is an index for measuring the first attention, if the first preset threshold exceeds the first threshold, the first preset threshold indicates that the first user has high attention to the commodity, and then first topic information concerned by the first user is obtained. And a foundation is laid for the subsequent data analysis of the influence degree of the public opinion on the health condition of residents.
As shown in fig. 6, in order to further refine the first instruction information, step S800 of the application embodiment further includes:
step S801a: acquiring professional information of the first user;
step S802a: judging whether the professional information of the first user has a first relevance with the first topic information;
step S803a: modifying the first instruction information when the professional information of the first user has a first association with the first topic information.
Specifically, professional information of the first user is obtained, and further information such as a work field, work time and work pressure of the first user is obtained; by judging the first relevance between the occupation information of the first user and the first topic information, when the occupation information of the first user has the first relevance with the first topic information, the first instruction information is modified through the occupation information of the first user, if the occupation information of the first user has the relevance with the first topic information, the first instruction information is properly adjusted, and second topic information irrelevant to the occupation of the first user is pushed to the first user, so that the technical purposes of relieving the psychological pressure of the user and improving the healthy life index of the user are achieved.
As shown in fig. 7, in order to further obtain the second instruction information, step S800 of the present embodiment further includes:
step S801b: obtaining first user age group information of the first community;
step S802b: obtaining a first proportion of the first user age group in the first community;
step S803b: judging whether the first proportion of the first user in the old age group exceeds a second preset threshold value or not;
step S804b: when the first proportion exceeds a second preset threshold value, second age information of the first user is obtained;
step S805b: determining whether a second age of the first user is in the first proportion;
step S806b: and when the second age of the first user is in the first proportion, obtaining second instruction information, wherein the second instruction information is community activity information sent to the first user.
Specifically, the distribution proportion condition of people in all age groups in the community is obtained, and the proportion numerical information of the aged over 60 years old in the first user is obtained. The second preset threshold value is an index for presetting and measuring the occupation ratio of the first user age group in the community, and if the value exceeds the index, the occupation ratio of the aging population in the community is proved, and the health of the old people in the community needs to be continuously concerned. And the second age information of the first user is the actual age of the first user, if the second age information of the first user is in the first proportion, the user is an old user, and the second instruction information is obtained at the moment, wherein the second instruction information is community activity information sent to the first user. By developing community activities for the first user, the life of the old is enriched, and the technical effects of improving the happiness index of residents and promoting healthy life are achieved.
As shown in fig. 8, in order to determine the influence degree of the community environment on the physical health of the user, step S800 of the embodiment further includes:
step S801c: obtaining first environment information of the first community;
step S802c: judging whether the first environment information has a first influence degree on the health condition information of the first user;
step S803c: when the first environment information has a first influence degree on the health condition information of the first user, first prompt information is sent to a second user, wherein the first prompt information is used for prompting the second user to optimize a first environment of the first community.
Specifically, the first environment information of the first community includes community environmental sanitation, community environment layout, community environmental law, community surrounding traffic, community health service attention to the community environment, and the like. Since community environmental pollution may cause certain chronic diseases that endanger the health of community residents, the degree of influence of the first community's environment on the health of residents is determined by obtaining a first influence degree of the first environmental information on the health condition information of the first user. And the second user is a manager of the first community, and when the environment of the first community has influence on the health of residents, first prompt information is sent to the second user, wherein the first prompt information is used for prompting the second user to optimize the first environment of the first community. The technical effects of accurately controlling the health condition information of residents, and effectively improving the health condition of residents through data analysis and taking relevant measures are achieved.
To sum up, the community big health processing method based on the detection data provided by the embodiment of the application has the following technical effects:
because the consumer goods purchased by the user are determined by analyzing the purchasing characteristics of the user, the relation between the consumer goods and the health condition of the user is determined, if the first user purchases the consumer goods related to the self health condition, the hot topic concerned by the user is further determined, the influence degree of the topic on the health condition of the user is further obtained by combining public opinion information analysis, and the technical purpose of accurately judging the influence degree of the public opinion on the body condition of the user by combining the public opinion information is achieved; the first instruction information is modified according to the first relevance between the occupation information of the first user and the first topic information, and then the second instruction information is obtained, so that the technical effects of effectively relieving the pressure of residents, transferring the attention and improving the emotional and health conditions of the residents are achieved.
Since the first sleep information is input into a training model, wherein the training model is obtained by training a plurality of sets of training data, each set of training data in the plurality of sets includes: the first sleep information, the preset diet identification information and the preset movement identification information are used for obtaining the sleep quality grade information of the first user, so that the accuracy of obtaining the resident sleep quality grade information is improved, and the accuracy of the health condition information of the first user is improved. The technical effect of obtaining accurate analysis data of the degree of influence of public opinion on the body health of the user is achieved.
Example two
Based on the same inventive concept as the method for processing community big health information based on detection data in the foregoing embodiment, the present invention further provides a device for processing community big health information based on detection data, as shown in fig. 9, the device includes:
a first obtaining unit 11, configured to obtain first detection data information of a first user, where the first user is a resident of a first community;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain the health condition information of the first user according to the first detection data information;
a third obtaining unit 13, where the third obtaining unit 13 is configured to obtain consumption record information of the first user;
a fourth obtaining unit 14, where the fourth obtaining unit 14 is configured to obtain first consumer item category information according to the consumption record information of the first user;
a first judging unit 15, where the first judging unit 15 is configured to judge whether the first consumer item category information and the health condition information of the first user have a correlation;
a fifth obtaining unit 16, wherein the fifth obtaining unit 16 is configured to obtain first topic information focused on by the first user according to the first consumer item category information if the first consumer item category information has a correlation with the health condition information of the first user;
a second judging unit 17, where the second judging unit 17 is configured to judge whether the first topic information has a first influence degree on the first user;
a sixth obtaining unit 18, where the sixth obtaining unit 18 is configured to obtain first instruction information when the first topic information has a first influence degree on the first user, where the first instruction information is to push second topic information to the first user at a predetermined time;
further, the apparatus further comprises:
a seventh obtaining unit, configured to obtain first sleep information of the first user;
a first input unit, configured to input the first sleep information into a training model, where the training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets includes: the first sleep information, the preset diet identification information and the preset exercise identification information;
an eighth obtaining unit, configured to obtain output information of the training model, where the output information includes sleep quality level information of the first user;
a ninth obtaining unit configured to obtain past medical history information of the first user;
a tenth obtaining unit, configured to obtain health condition information of the first user according to past medical history information of the first user and sleep quality level information of the first user;
further, the apparatus further comprises:
an eleventh obtaining unit, configured to obtain a diet regularity of the first user;
a twelfth obtaining unit for obtaining dietary nutritional indicators of the first user;
a thirteenth obtaining unit, configured to obtain preset diet identification information according to the diet regularity of the first user and the diet nutritional index of the first user;
further, the apparatus further comprises:
a fourteenth obtaining unit configured to obtain a number of the weekly motions of the first user;
a fifteenth obtaining unit, configured to obtain a motion cycle duration of the first user;
a sixteenth obtaining unit, configured to obtain the exercise volume of the first user according to the number of times of the first user's exercise cycle and the exercise cycle duration of the first user;
a seventeenth obtaining unit, configured to obtain preset motion identifier information according to the extreme motion product of the first user;
further, the apparatus further comprises:
an eighteenth obtaining unit, configured to obtain first consumer item related topic information according to the first consumer item category information;
a nineteenth obtaining unit for obtaining a first click volume of the first user on a first consumable related topic;
a twentieth obtaining unit configured to obtain a first degree of attention of the first user to a first consumer item-related topic according to the first click volume;
a third judging unit, configured to judge whether the first attention degree exceeds a first preset threshold;
a twenty-first obtaining unit, configured to obtain first topic information that the first user concerns when the first attention degree exceeds a first preset threshold;
further, the apparatus further comprises:
a twenty-second obtaining unit for obtaining professional information of the first user;
a fourth judging unit, configured to judge whether the professional information of the first user and the first topic information have a first association;
a first correction unit configured to correct the first instruction information when professional information of the first user has a first correlation with the first topic information;
further, the apparatus further comprises:
a twenty-third obtaining unit for obtaining a first user age group of the first community;
a twenty-fourth obtaining unit configured to obtain a first percentage of the first user age group in the first community;
a fifth judging unit, configured to judge whether the first proportion exceeds a second preset threshold;
a twenty-fifth obtaining unit, configured to obtain second age information of the first user when the first percentage exceeds a second preset threshold;
a sixth judging unit configured to judge whether a second age of the first user is in the first proportion;
a twenty-sixth obtaining unit, configured to obtain second instruction information when a second age of the first user is in the first percentage, where the second instruction information is to send community activity information to the first user;
further, the apparatus further comprises:
a twenty-seventh obtaining unit, configured to obtain first environment information of the first community;
a seventh determining unit, configured to determine whether the first environmental information has a first influence on the health condition information of the first user;
a twenty-eighth obtaining unit, configured to send first prompt information to a second user when the first environment information has a first influence on the health condition information of the first user, where the first prompt information is a first environment prompting the second user to optimize the first community.
Various changes and specific examples of the method for processing community big health information based on detection data in the first embodiment of fig. 1 are also applicable to the apparatus for processing community big health information based on detection data in the present embodiment, and through the foregoing detailed description of the method for processing community big health information based on detection data, those skilled in the art can clearly know the method for implementing the apparatus for processing community big health information based on detection data in the present embodiment, so for the brevity of the description, detailed descriptions are omitted here.
Exemplary electronic device
An electronic apparatus of an embodiment of the present application is described below with reference to fig. 10.
Fig. 10 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of the community big health information processing method based on the detection data in the foregoing embodiments, the present invention further provides a community big health information processing apparatus based on the detection data, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of any one of the foregoing community big health information processing methods based on the detection data.
Wherein in fig. 10 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 306 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, 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 (devices), 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. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. A community big health information processing method based on detection data is disclosed, wherein the method comprises the following steps:
obtaining first detection data information of a first user, wherein the first user is a resident of a first community;
acquiring health condition information of the first user according to the first detection data information;
obtaining consumption record information of the first user;
obtaining first consumer goods category information according to the consumption record information of the first user;
determining whether the first consumer item category information has a correlation with the health condition information of the first user;
if the first consumer item category information has correlation with the health condition information of the first user, obtaining first topic information concerned by the first user according to the first consumer item category information;
judging whether the first topic information has a first influence degree on the first user;
when the first topic information has a first influence degree on the first user, obtaining first instruction information, wherein the first instruction information is used for pushing second topic information to the first user in a preset time;
the method further comprises the following steps:
acquiring professional information of the first user;
judging whether the professional information of the first user has a first relevance with the first topic information;
modifying the first instruction information when the professional information of the first user has a first association with the first topic information.
2. The method of claim 1, wherein the obtaining health information of the first user further comprises:
obtaining first sleep information of the first user;
inputting the first sleep information into a training model, wherein the training model is obtained by training a plurality of sets of training data, and each set of training data in the plurality of sets of training data comprises: the first sleep information, the preset diet identification information and the preset movement identification information;
obtaining output information of the training model, wherein the output information comprises sleep quality grade information of the first user;
obtaining the prior medical history information of the first user;
and acquiring the health condition information of the first user according to the past medical history information of the first user and the sleep quality grade information of the first user.
3. The method of claim 2, wherein the preset meal identification information comprises:
obtaining a diet regularity of the first user;
obtaining a dietary nutritional indicator for the first user;
and obtaining preset diet identification information according to the diet regularity of the first user and the diet nutritional index of the first user.
4. The method of claim 2, wherein the preset motion identification information comprises:
obtaining the number of the week exercises of the first user;
obtaining the weekly exercise duration of the first user;
obtaining the exercise product of the first user according to the number of the weekly exercise of the first user and the weekly exercise duration of the first user;
and obtaining preset motion identification information according to the motion product limit of the first user.
5. The method of claim 1, wherein said obtaining first topic information of interest to the first user from the first consumer item category information comprises:
obtaining first consumer goods related topic information according to the first consumer goods category information;
obtaining a first click volume of the first user on a first consumer related topic;
obtaining a first attention degree of the first user to a first consumer related topic according to the first click volume;
judging whether the first attention exceeds a first preset threshold value or not;
when the first attention degree exceeds a first preset threshold value, first topic information concerned by the first user is obtained.
6. The method of claim 1, wherein the method further comprises:
obtaining first user age group information of the first community;
obtaining a first proportion of the first user age group in the first community;
judging whether the first proportion of the first user in the old age group exceeds a second preset threshold value or not;
when the first proportion exceeds a second preset threshold value, second age information of the first user is obtained;
determining whether a second age of the first user is in the first percentage;
and when the second age of the first user is in the first proportion, obtaining second instruction information, wherein the second instruction information is community activity information sent to the first user.
7. The method of claim 1, wherein the method further comprises:
obtaining first environment information of the first community;
judging whether the first environment information has a first influence degree on the health condition information of the first user;
when the first environment information has a first influence degree on the health condition information of the first user, first prompt information is sent to a second user, wherein the first prompt information is used for prompting the second user to optimize a first environment of the first community.
8. A community big health information processing apparatus based on detection data, wherein the apparatus comprises:
a first obtaining unit configured to obtain first detection data information of a first user, wherein the first user is a resident of a first community;
a second obtaining unit, configured to obtain health condition information of the first user according to the first detection data information;
a third obtaining unit configured to obtain consumption record information of the first user;
a fourth obtaining unit, configured to obtain first consumer item category information according to the consumption record information of the first user;
a first judging unit configured to judge whether the first consumer item category information and the health condition information of the first user have a correlation;
a fifth obtaining unit, configured to obtain first topic information focused on by the first user according to the first consumer item category information if the first consumer item category information has a correlation with the health condition information of the first user;
a second determination unit, configured to determine whether the first topic information has a first influence on the first user;
a sixth obtaining unit, configured to obtain first instruction information when the first topic information has a first influence degree on the first user, where the first instruction information is to push second topic information to the first user at a predetermined time;
a twenty-second obtaining unit for obtaining professional information of the first user;
a fourth judging unit, configured to judge whether the professional information of the first user and the first topic information have a first association;
a first correction unit configured to correct the first instruction information when professional information of the first user has a first correlation with the first topic information.
9. A community big health information processing apparatus based on detection data, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method according to any one of claims 1 to 7 when executing the program.
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