CN113593711A - Health management information pushing method based on international disease classification coding - Google Patents
Health management information pushing method based on international disease classification coding Download PDFInfo
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- CN113593711A CN113593711A CN202110886902.XA CN202110886902A CN113593711A CN 113593711 A CN113593711 A CN 113593711A CN 202110886902 A CN202110886902 A CN 202110886902A CN 113593711 A CN113593711 A CN 113593711A
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- 201000010099 disease Diseases 0.000 title claims abstract description 97
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 title claims abstract description 97
- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000003745 diagnosis Methods 0.000 claims abstract description 18
- 238000004891 communication Methods 0.000 claims description 9
- 238000011156 evaluation Methods 0.000 claims description 5
- 208000024891 symptom Diseases 0.000 claims description 5
- 235000005911 diet Nutrition 0.000 claims description 3
- 230000037213 diet Effects 0.000 claims description 3
- 235000004280 healthy diet Nutrition 0.000 claims description 3
- 230000003449 preventive effect Effects 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 abstract description 2
- 230000005540 biological transmission Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H70/00—ICT specially adapted for the handling or processing of medical references
- G16H70/60—ICT specially adapted for the handling or processing of medical references relating to pathologies
Abstract
The invention discloses a health management information pushing method based on international disease classification coding, which relates to the technical field of personalized pushing of monitoring management information and aims to realize a crowd full-coverage, multi-level and personalized health management information pushing method, the first 100 diseases with highest disease diagnosis result in a full database and corresponding cautionary items are counted, personalized suggestions are edited based on ICD coding, health suggestions of WHO are recorded, and a user portrait and a disease name are obtained; judging whether the disease name of the user is in the top 100 disease lists with highest disease diagnosis result in the full database; judging whether IDC codes of disease names have corresponding sub-order contents or not; judging whether IDC codes of disease names have corresponding category interval contents or not; judging whether a WHO suggestion is pushed, if so, directly returning the suggestion, otherwise, entering the step S6; the general health advice is queried and returned.
Description
Technical Field
The invention relates to the technical field of personalized pushing of monitoring management information, in particular to a health management information pushing method based on international disease classification coding.
Background
With the development of society and economy, people are more and more conscious of health whether healthy people, sub-healthy people or disease patients, and more health management software appears in daily life of people, wherein the health management software can push some health management information for users.
At present, when a user logs in health management software for the first time, some self health information needs to be filled, such as basic information of age, sex, interests and hobbies, and the health management software can push some health management information from a health management content database to the user according to the basic information. At present, health management information pushing systems are numerous and complicated, existing health management software only pushes corresponding health management information according to some user basic information data, and accurate personalized health management information is not pushed to a user specially aiming at personalized conditions of the user, particularly by combining international disease classification codes of historical medical diagnosis diseases, so that the accuracy rate of the health management information pushed to the user by the health management software is low and the user experience is poor by adopting a common scheme.
Aiming at the defects of the conventional scheme, the method aims to extract the related health label according to the comprehensive information of the gender, the age, the symptom record, the data record, the questionnaire evaluation, the browsing, the searching, the accurate name of the diagnosed disease, the international disease classification code category and the sub-category of the diagnosed disease and the like of the user, generate the user health portrait, establish the crowd full-coverage, multi-level and personalized push logic, and push the personalized health management information to the user, thereby realizing the personalized health management of the user.
Disclosure of Invention
The invention discloses a health management information pushing method based on international disease classification coding, and aims to realize a crowd full-coverage, multi-level and personalized health management information pushing method.
In order to achieve the purpose, the invention adopts the following technical scheme:
a health management information pushing method based on international disease classification codes counts the top 100 diseases with highest disease diagnosis results in a full database and corresponding cautionary matters, edits personalized suggestions based on ICD codes, and records health suggestions of WHO, and comprises the following steps:
step S1: acquiring a user portrait and a disease name;
step S2: judging whether the disease name of the user is in the top 100 disease lists with highest disease diagnosis result in the full database, if so, inquiring a health suggestion corresponding to the disease and returning the suggestion, otherwise, entering the step S3;
step S3: judging whether IDC codes of the disease names have corresponding sub-item contents, if so, inquiring health suggestions of the corresponding sub-items and returning the suggestions, otherwise, entering a step S4;
step S4: judging whether IDC codes of disease names have corresponding category interval contents, if so, inquiring health suggestions of the category intervals and returning the suggestions, otherwise, entering a step S5;
step S5: judging whether a WHO suggestion is pushed, if so, directly returning the suggestion, otherwise, entering the step S6;
step S6: the general health advice is queried and returned.
Preferably, the top 100 diseases with highest disease diagnosis result in the statistical total database and corresponding cautions are edited based on ICD codes to form personalized suggestions, and health suggestions of WHO are included, specifically including the following steps:
step S101: counting the top 100 diseases and corresponding cautions with highest disease diagnosis result in the whole database;
step S102: preparing diseases of categories and sub-categories according to ICD codes of disease names, and giving corresponding suggestions to people of different ages and sexes;
step S103: according to the ICD coding interval, corresponding suggestions are given to people of different ages and sexes;
step S104: according to the healthy diet recommendation given by the WHO, corresponding recommendations are given for people of different ages and sexes.
Preferably, in step S101, the corresponding attention points include attention points in sports, diet, lifestyle habits, psychology and preventive health care.
Preferably, the specific method of step S1 is: and inputting the basic characteristic information of the object into the user portrait generation model to obtain the user portrait of the object, wherein the object is a user requesting to push the health information.
Preferably, the basic characteristic information of the subject includes the gender, age, symptom record, data record, questionnaire evaluation, browsing, searching, accurate name of the diagnosed disease, international disease classification code category and sub-category of the diagnosed disease of the subject.
Preferably, the first 100 diseases with highest disease diagnosis results in the full statistical database and corresponding cautionary matters are compiled into personalized suggestions based on ICD codes and health suggestion storage and personalized recommendation servers for listing WHO, the basic feature information of the object and the disease name are sent by the client and request results, the client is in communication connection with the personalized recommendation servers, and the personalized recommendation servers are in communication connection to return health suggestions to the client.
Preferably, the client and the personalized recommendation server are both in communication connection with a back-end server, the client sends a data request to the back-end server, the back-end server sends a health suggestion request to the personalized recommendation server, the personalized recommendation server returns a health suggestion to the back-end server, and then the back-end server returns the health suggestion to the client.
The invention has the following beneficial effects: the regional full population coverage is realized through remote query and push; by introducing ICD coding such that the recommendation system covers 95% of the disease in ICD 10; the recommended intervention measures realize the personalized recommendation of the international disease classification codes based on the historical diagnosis diseases of the user, so that the recommendation is more accurate and efficient, and the user experience is greatly improved; the data request and return are realized through the client, the personalized recommendation server and the back-end server, the pushing process is ordered, and congestion and conflict are not easy to occur.
Drawings
Fig. 1 is a flow chart of a health management information pushing method based on international disease classification coding according to embodiment 1;
fig. 2 is a schematic diagram of a data transmission timing sequence of a health management information pushing method based on international disease classification coding according to embodiment 2.
Detailed Description
Example 1
A health management information pushing method based on international disease classification codes counts the top 100 diseases and corresponding cautionary matters with highest disease diagnosis results in a full database, edits personalized suggestions based on ICD codes, and records health suggestions of WHO, wherein the counting steps are as follows in the embodiment:
step S101: counting the top 100 diseases and corresponding cautions with highest disease diagnosis result in the whole database;
step S102: preparing diseases of categories and sub-categories according to ICD codes of disease names, and giving corresponding suggestions to people of different ages and sexes;
step S103: according to the ICD coding interval, corresponding suggestions are given to people of different ages and sexes;
step S104: according to the healthy diet recommendation given by the WHO, corresponding recommendations are given for people of different ages and sexes.
Preferably, in step S101, the corresponding attention points include attention points in sports, diet, lifestyle habits, psychology and preventive health care.
As shown in fig. 1, the method comprises the following steps:
step S1: acquiring a user portrait and a disease name;
step S2: judging whether the disease name of the user is in the top 100 disease lists with highest disease diagnosis result in the full database, if so, inquiring a health suggestion corresponding to the disease and returning the suggestion, otherwise, entering the step S3;
step S3: judging whether IDC codes of the disease names have corresponding sub-item contents, if so, inquiring health suggestions of the corresponding sub-items and returning the suggestions, otherwise, entering a step S4;
step S4: judging whether IDC codes of disease names have corresponding category interval contents, if so, inquiring health suggestions of the category intervals and returning the suggestions, otherwise, entering a step S5;
step S5: judging whether a WHO suggestion is pushed, if so, directly returning the suggestion, otherwise, entering the step S6;
step S6: the general health advice is queried and returned.
In this embodiment, the specific method of step S1 is as follows: and inputting the basic characteristic information of the object into the user portrait generation model to obtain the user portrait of the object, wherein the object is a user requesting to push the health information.
Specifically, the basic characteristic information of the subject includes the categories and sub-categories of the gender, age, symptom records, data records, questionnaire evaluation, browsing, searching, accurate name of the diagnosed disease, and international disease classification code of the diagnosed disease of the subject.
The method for realizing data transmission in this embodiment is to store and personalize recommendation servers for the top 100 diseases and corresponding cautions with highest disease diagnosis results in the statistical full database, edit personalized suggestions based on ICD codes and record health suggestions of WHO, send the basic feature information of the object and the disease name from the client and request results, connect the client and the personalized recommendation server in a communication manner, and return health suggestions to the client through the communication connection of the personalized recommendation server.
According to the method provided by the embodiment, the related health labels can be extracted according to the comprehensive information of the gender, the age, the symptom record, the data record, the questionnaire evaluation, the browsing, the searching, the accurate name of the diagnosed disease, the international disease classification code category and the sub-category of the diagnosed disease and the like of the user, the health portrait of the user is generated, the crowd full-coverage, multi-level and personalized push logic is established, the personalized health management information is pushed to the user, and the personalized health management of the user is further realized.
Example 2
The embodiment 1 is based on a health management information pushing method based on international disease classification coding, and mainly optimizes data transmission, a sequence diagram of the data transmission is shown in fig. 2, a client and a personalized recommendation server are both in communication connection with a back-end server, the client sends a data request to the back-end server, the back-end server sends a health suggestion request to the personalized recommendation server, the personalized recommendation server returns a health suggestion to the back-end server, and then the back-end server returns the health suggestion to the client.
Claims (7)
1. A health management information pushing method based on international disease classification codes is characterized in that the first 100 diseases with highest disease diagnosis result number and corresponding notice in a full database are counted, personalized suggestions are edited based on ICD codes, health suggestions of WHO are included, and the method comprises the following steps:
step S1: acquiring a user portrait and a disease name;
step S2: judging whether the disease name of the user is in the top 100 disease lists with highest disease diagnosis result in the full database, if so, inquiring a health suggestion corresponding to the disease and returning the suggestion, otherwise, entering the step S3;
step S3: judging whether IDC codes of the disease names have corresponding sub-item contents, if so, inquiring health suggestions of the corresponding sub-items and returning the suggestions, otherwise, entering a step S4;
step S4: judging whether IDC codes of disease names have corresponding category interval contents, if so, inquiring health suggestions of the category intervals and returning the suggestions, otherwise, entering a step S5;
step S5: judging whether a WHO suggestion is pushed, if so, directly returning the suggestion, otherwise, entering the step S6;
step S6: the general health advice is queried and returned.
2. The method for pushing health management information based on international disease classification codes according to claim 1, wherein the top 100 diseases with highest disease diagnosis result and corresponding cautionary matters in the statistical full database are edited and personalized advice is included based on ICD codes, and health advice of WHO is included, and specifically comprises the following steps:
step S101: counting the top 100 diseases and corresponding cautions with highest disease diagnosis result in the whole database;
step S102: preparing diseases of categories and sub-categories according to ICD codes of disease names, and giving corresponding suggestions to people of different ages and sexes;
step S103: according to the ICD coding interval, corresponding suggestions are given to people of different ages and sexes;
step S104: according to the healthy diet recommendation given by the WHO, corresponding recommendations are given for people of different ages and sexes.
3. The method for pushing health management information based on international disease classification coding as claimed in claim 2, wherein in the step S101, the corresponding cautions include sports, diet, living habits, psychology and preventive health care cautions.
4. The method for pushing health management information based on international disease classification coding as claimed in claim 1, wherein the specific method of step S1 is as follows: and inputting the basic characteristic information of the object into the user portrait generation model to obtain the user portrait of the object, wherein the object is a user requesting to push the health information.
5. The method as claimed in claim 4, wherein the basic characteristic information of the subject includes sex, age, symptom record, data record, questionnaire evaluation, browsing, searching, accurate name of diagnosed disease, international disease classification code category and sub-category of diagnosed disease of the subject.
6. The health management information pushing method based on international disease classification coding as claimed in claim 4, wherein: the method comprises the steps that the first 100 diseases with highest disease diagnosis results and corresponding cautionary items in the full statistical database are obtained, personalized suggestions are edited based on ICD codes, health suggestion storage and personalized recommendation servers for recording WHO are recorded, basic feature information of an object and a disease name are sent by a client and request for a result, the client is in communication connection with the personalized recommendation servers, and the personalized recommendation servers are in communication connection to return health suggestions to the client.
7. The health management information pushing method based on international disease classification coding as claimed in claim 6, wherein: the client and the personalized recommendation server are both in communication connection with a back-end server, the client sends a data request to the back-end server, the back-end server sends a health suggestion request to the personalized recommendation server, the personalized recommendation server returns a health suggestion to the back-end server, and then the back-end server returns the health suggestion to the client.
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