CN113223719A - Personal health management system based on artificial intelligence - Google Patents
Personal health management system based on artificial intelligence Download PDFInfo
- Publication number
- CN113223719A CN113223719A CN202110635323.8A CN202110635323A CN113223719A CN 113223719 A CN113223719 A CN 113223719A CN 202110635323 A CN202110635323 A CN 202110635323A CN 113223719 A CN113223719 A CN 113223719A
- Authority
- CN
- China
- Prior art keywords
- daily
- task
- user
- personal health
- health management
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 15
- 238000012544 monitoring process Methods 0.000 claims abstract description 29
- 230000037213 diet Effects 0.000 claims abstract description 13
- 235000005911 diet Nutrition 0.000 claims abstract description 13
- 230000009193 crawling Effects 0.000 claims abstract description 7
- 238000007726 management method Methods 0.000 claims description 47
- 238000011156 evaluation Methods 0.000 claims description 7
- 238000003062 neural network model Methods 0.000 claims description 4
- 238000012552 review Methods 0.000 claims description 4
- 238000012790 confirmation Methods 0.000 claims description 3
- 238000004171 remote diagnosis Methods 0.000 claims description 3
- 238000003745 diagnosis Methods 0.000 abstract description 7
- 230000005856 abnormality Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 229940079593 drug Drugs 0.000 description 2
- 239000003814 drug Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000004080 punching Methods 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Images
Classifications
-
- 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
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Data Mining & Analysis (AREA)
- Computing Systems (AREA)
- Evolutionary Computation (AREA)
- Public Health (AREA)
- Software Systems (AREA)
- Mathematical Physics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Artificial Intelligence (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- General Physics & Mathematics (AREA)
- Molecular Biology (AREA)
- Medical Informatics (AREA)
- General Engineering & Computer Science (AREA)
- Epidemiology (AREA)
- Pathology (AREA)
- Primary Health Care (AREA)
- Databases & Information Systems (AREA)
- Medical Treatment And Welfare Office Work (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The invention relates to the field of personal health management, in particular to a personal health management system based on artificial intelligence, which comprises a mobile phone APP, a server for realizing communication with the mobile phone APP and data base stations of various hospitals, wherein the mobile phone APP is connected with the server; the mobile phone APP is used for realizing real-name registration login of a user and checking and executing a health management task; the system is also used for realizing self-checking of daily health; the server is used for realizing the crawling of the medical record and the physical record of the user in each large hospital data base station according to the registration information of the user and generating a personal health data file of each user; and the system is also used for generating a corresponding health management plan according to the personal health data file of each user, and internally loading a daily index monitoring task, a daily diet monitoring task and a daily reinspection task. The invention can realize the unified management of personal diagnosis and treatment data and physical examination data and can realize the management of personal daily health.
Description
Technical Field
The invention relates to the field of personal health management, in particular to a personal health management system based on artificial intelligence.
Background
At present, medical health data after diagnosis and physical examination of each hospital are generally stored in an independent storage mode, no correlation exists between the medical health data and the medical health data, the medical health data and the medical health data are difficult to look up and use, and the medical health data play little role in personal health management.
The daily management of personal health basically depends on the self-awareness, so that the user is easy to have the situations of treatment interruption, such as forgetting to take medicines, forgetting to review, and the like, and also easy to have the situations of inaccurate symptom description, such as forgetting to record physical sign data, and the daily management of personal health is not beneficial to the management of personal health while misleading the diagnosis and treatment process of a doctor.
Disclosure of Invention
In order to solve the problems, the invention provides an artificial intelligence-based personal health management system, which can realize the unified management of personal diagnosis and treatment data and physical examination data and can realize the daily health management of individuals.
In order to achieve the purpose, the invention adopts the technical scheme that:
a personal health management system based on artificial intelligence comprises a mobile phone APP, a server which is communicated with the mobile phone APP and data base stations of various hospitals; the mobile phone APP is used for realizing real-name registration login of a user and checking and executing a health management task; the system is also used for realizing self-checking of daily health; the server is used for realizing the crawling of the medical record and the physical record of the user in each large hospital data base station according to the registration information of the user and generating a personal health data file of each user; and the system is also used for generating a corresponding health management plan according to the personal health data file of each user, and internally loading a daily index monitoring task, a daily diet monitoring task and a daily reinspection task.
Further, the mobile phone APP is loaded:
the registration login module is used for realizing real-name registration login of a user;
the personal health data archive inquiry module is used for realizing inquiry of personal health data archive data of a user;
the health management task module is used for realizing the checking and execution of the health management task and the task progress tracking;
and the daily self-checking module is used for inputting corresponding physiological characteristic parameters in a blank filling mode based on a preset template so as to realize daily health self-checking.
Further, the server internally loads: the network crawler module is used for crawling the medical records and the physical records of the users in the data base stations of the hospitals according to the registration information of the users; the personal health data file generation module is used for realizing the arrangement of the medical record and the physical record based on a preset algorithm and generating a personal health data file of each user; and the health management plan planning module is used for realizing the planning of the daily index monitoring task, the daily diet monitoring task and the daily reinspection task of each user according to the personal health data file of each user.
Further, the health management task tracking module internally loads:
the health management task checking module is used for checking a daily index monitoring task, a daily diet monitoring task and a daily review task and entering an execution interface of each task;
and the health management task reminding module is used for realizing the reminding of a daily index monitoring task, a daily diet monitoring task and a daily reinspection task in a mode of popping up a dialog box.
Further, the daily self-checking module realizes the evaluation of the physiological characteristic parameters based on an infinite neural network model, and generates a personal health evaluation table.
Further, the personal health data file realizes the registration and the arrangement of each visit record and the information carried in the physical examination record in a table form.
Further, the mobile phone APP is loaded:
the remote help seeking module is used for realizing remote diagnosis and treatment assistance to the doctor terminal, before the module is started, a help seeking request needs to be sent to the corresponding doctor terminal, and the doctor terminal clicks a confirmation key to initiate remote voice or video.
The invention has the following beneficial effects:
the system can realize the full monitoring and the full recording of the personal diagnosis and treatment data and the physical examination data, and provides a reference basis for subsequent disease diagnosis, medication and the like while realizing the unified management of the personal diagnosis and treatment data and the physical examination data.
Different personal health management plans can be made according to different user conditions, pertinence is strong, a plan reminding function is provided, users are urged to finish corresponding health management plans one by one in a task card punching mode, and conditions such as treatment interruption and physical sign data recording terminals can be well avoided.
The system has a daily monitoring self-checking function, and a user can master the self health condition at any time, so that the abnormality of the body can be found in time, and the doctor can see the abnormality in advance.
Drawings
Fig. 1 is a system block diagram of an artificial intelligence based personal health management system according to an embodiment of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications can be made by persons skilled in the art without departing from the spirit of the invention. All falling within the scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides an artificial intelligence-based personal health management system, which includes a mobile phone APP, a server that communicates with the mobile phone APP and data base stations of various hospitals; the mobile phone APP is used for realizing real-name registration login of a user and checking and executing a health management task; the system is also used for realizing self-checking of daily health; the server is used for realizing the crawling of the medical record and the physical record of the user in each large hospital data base station according to the registration information of the user and generating a personal health data file of each user; the personal health data file realizes the registration and the arrangement of the internal information of each medical record and physical record in a form of a table; and the system is also used for generating a corresponding health management plan according to the personal health data file of each user, and internally loading a daily index monitoring task, a daily diet monitoring task and a daily reinspection task.
In this embodiment, the mobile phone APP is loaded: the registration login module is used for realizing real-name registration login of a user; when a user registers, identity card information needs to be input so as to ensure the accuracy of personal health data archive data generated subsequently; the personal health data archive inquiry module is used for realizing inquiry of personal health data archive data of a user; the inquired data can be fed back in a form of a table or a graph, and a user can independently select the data according to the requirement; the health management task module is used for realizing the checking and execution of the health management task and the task progress tracking; and the daily self-checking module is used for inputting corresponding physiological characteristic parameters in a blank filling mode based on a preset template so as to realize daily health self-checking. And a corresponding daily health assessment model is configured in the server, and the daily monitoring assessment module is obtained by training based on the physiological characteristic parameters loaded in the big data and the corresponding health assessment results by adopting an infinite neural network model. The daily self-inspection module firstly realizes the evaluation of the physiological characteristic parameters based on an infinite neural network model, then calls a preset personal health evaluation table template to generate a corresponding personal health evaluation table, and a user can continuously acquire the health condition of each current physiological characteristic; the remote help seeking module is used for realizing remote diagnosis and treatment assistance to the doctor terminal, before the module is started, a help seeking request needs to be sent to the corresponding doctor terminal, and the doctor terminal clicks a confirmation key to initiate remote voice or video.
In this embodiment, the server internally loads: the network crawler module is used for crawling the medical records and the physical records of the users in the data base stations of the hospitals according to the registration information of the users; the personal health data file generation module is used for realizing the arrangement of the medical record and the physical record based on a preset algorithm and generating a personal health data file of each user; and the health management plan planning module is used for realizing the planning of the daily index monitoring task, the daily diet monitoring task and the daily reinspection task of each user according to the personal health data file of each user.
In this embodiment, the health management task tracking module is loaded with: the health management task checking module is used for checking a daily index monitoring task, a daily diet monitoring task and a daily review task and entering an execution interface of each task; and the health management task reminding module is used for realizing the reminding of a daily index monitoring task, a daily diet monitoring task and a daily reinspection task in a mode of popping up a dialog box.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (7)
1. A personal health management system based on artificial intelligence is characterized in that: the system comprises a mobile phone APP, a server which is communicated with the mobile phone APP and data base stations of various hospitals; the mobile phone APP is used for realizing real-name registration login of a user and checking and executing a health management task; the system is also used for realizing self-checking of daily health; the server is used for realizing the crawling of the medical record and the physical record of the user in each large hospital data base station according to the registration information of the user and generating a personal health data file of each user; and the system is also used for generating a corresponding health management plan according to the personal health data file of each user, and internally loading a daily index monitoring task, a daily diet monitoring task and a daily reinspection task.
2. An artificial intelligence based personal health management system as claimed in claim 1, wherein: the mobile phone APP is internally loaded: the registration login module is used for realizing real-name registration login of a user; the personal health data archive inquiry module is used for realizing inquiry of personal health data archive data of a user; the health management task module is used for realizing the checking and execution of the health management task and the task progress tracking; and the daily self-checking module is used for inputting corresponding physiological characteristic parameters in a blank filling mode based on a preset template so as to realize daily health self-checking.
3. An artificial intelligence based personal health management system as claimed in claim 1, wherein: the server internally loads: the network crawler module is used for crawling the medical records and the physical records of the users in the data base stations of the hospitals according to the registration information of the users; the personal health data file generation module is used for realizing the arrangement of the medical record and the physical record based on a preset algorithm and generating a personal health data file of each user; and the health management plan planning module is used for realizing the planning of the daily index monitoring task, the daily diet monitoring task and the daily reinspection task of each user according to the personal health data file of each user.
4. An artificial intelligence based personal health management system as claimed in claim 2, wherein: the health management task tracking module is internally loaded with: the health management task checking module is used for checking a daily index monitoring task, a daily diet monitoring task and a daily review task and entering an execution interface of each task; and the health management task reminding module is used for realizing the reminding of a daily index monitoring task, a daily diet monitoring task and a daily reinspection task in a mode of popping up a dialog box.
5. An artificial intelligence based personal health management system as claimed in claim 1, wherein: and the daily self-checking module realizes the evaluation of the physiological characteristic parameters based on an infinite neural network model and generates a personal health evaluation table.
6. An artificial intelligence based personal health management system as claimed in claim 1, wherein: the personal health data file realizes the registration and the arrangement of the information carried in each medical treatment record and the medical record in a table form.
7. An artificial intelligence based personal health management system as claimed in claim 1, wherein: the mobile phone APP is internally loaded: the remote help seeking module is used for realizing remote diagnosis and treatment assistance to the doctor terminal, before the module is started, a help seeking request needs to be sent to the corresponding doctor terminal, and the doctor terminal clicks a confirmation key to initiate remote voice or video.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110635323.8A CN113223719A (en) | 2021-06-08 | 2021-06-08 | Personal health management system based on artificial intelligence |
| PCT/CN2022/091642 WO2022257675A1 (en) | 2021-06-08 | 2022-05-09 | Artificial intelligence-based personal health management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110635323.8A CN113223719A (en) | 2021-06-08 | 2021-06-08 | Personal health management system based on artificial intelligence |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113223719A true CN113223719A (en) | 2021-08-06 |
Family
ID=77083348
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110635323.8A Pending CN113223719A (en) | 2021-06-08 | 2021-06-08 | Personal health management system based on artificial intelligence |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN113223719A (en) |
| WO (1) | WO2022257675A1 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022257675A1 (en) * | 2021-06-08 | 2022-12-15 | 广州工商学院 | Artificial intelligence-based personal health management system |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012121440A1 (en) * | 2011-03-10 | 2012-09-13 | 주식회사 엠디웨어 | System for managing personal health record |
| CN103473481A (en) * | 2013-10-15 | 2013-12-25 | 宁波天瑞医疗器械有限公司 | Personal remote health service system |
| US20160125140A1 (en) * | 2013-10-30 | 2016-05-05 | Robert Higgs | Universal Electronic Personal Health Records Software System |
| US20160147925A1 (en) * | 2014-11-20 | 2016-05-26 | International Business Machines Corporation | Generating place and route abstracts |
| CN106250698A (en) * | 2016-08-04 | 2016-12-21 | 华南理工大学 | The nutrient health personalized based on gestation metabolism instructs system and guidance method thereof |
| US20180114601A1 (en) * | 2015-09-24 | 2018-04-26 | Tencent Technology (Shenzhen) Company Limited | Health management method, apparatus, and system |
| CN108766570A (en) * | 2018-05-24 | 2018-11-06 | 文丹 | A kind of resident's personal health management service system |
| CN111403033A (en) * | 2020-03-08 | 2020-07-10 | 张瀛 | Comprehensive health data acquisition and analysis system based on intelligent terminal |
| CN111933278A (en) * | 2020-08-29 | 2020-11-13 | 青海省疾病预防控制中心 | Chronic disease management system based on artificial intelligence |
| CN111986812A (en) * | 2020-08-27 | 2020-11-24 | 南阳市中心医院 | Internet-based gynecological disease medical diagnosis and treatment control system |
| CN111986757A (en) * | 2020-08-27 | 2020-11-24 | 北京天骥空间科技有限公司 | Parallel human health information system |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10446274B2 (en) * | 2014-11-25 | 2019-10-15 | Electronics And Telecommunications Research Institute | Open healthcare apparatus and method |
| CN105160190A (en) * | 2015-09-16 | 2015-12-16 | 深圳东沅科技有限公司 | Health archive based family doctor diagnosis and treatment system and diagnosis and treatment APP |
| CN111508610A (en) * | 2020-04-18 | 2020-08-07 | 甘肃省第二人民医院 | Human endocrine system health risk early warning system |
| CN113223719A (en) * | 2021-06-08 | 2021-08-06 | 阿拉拇 | Personal health management system based on artificial intelligence |
| CN113436753A (en) * | 2021-06-30 | 2021-09-24 | 江苏文旭信息技术股份有限公司 | Multifunctional health management system based on APP platform |
-
2021
- 2021-06-08 CN CN202110635323.8A patent/CN113223719A/en active Pending
-
2022
- 2022-05-09 WO PCT/CN2022/091642 patent/WO2022257675A1/en active Application Filing
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012121440A1 (en) * | 2011-03-10 | 2012-09-13 | 주식회사 엠디웨어 | System for managing personal health record |
| CN103473481A (en) * | 2013-10-15 | 2013-12-25 | 宁波天瑞医疗器械有限公司 | Personal remote health service system |
| US20160125140A1 (en) * | 2013-10-30 | 2016-05-05 | Robert Higgs | Universal Electronic Personal Health Records Software System |
| US20160147925A1 (en) * | 2014-11-20 | 2016-05-26 | International Business Machines Corporation | Generating place and route abstracts |
| US20180114601A1 (en) * | 2015-09-24 | 2018-04-26 | Tencent Technology (Shenzhen) Company Limited | Health management method, apparatus, and system |
| CN106250698A (en) * | 2016-08-04 | 2016-12-21 | 华南理工大学 | The nutrient health personalized based on gestation metabolism instructs system and guidance method thereof |
| CN108766570A (en) * | 2018-05-24 | 2018-11-06 | 文丹 | A kind of resident's personal health management service system |
| CN111403033A (en) * | 2020-03-08 | 2020-07-10 | 张瀛 | Comprehensive health data acquisition and analysis system based on intelligent terminal |
| CN111986812A (en) * | 2020-08-27 | 2020-11-24 | 南阳市中心医院 | Internet-based gynecological disease medical diagnosis and treatment control system |
| CN111986757A (en) * | 2020-08-27 | 2020-11-24 | 北京天骥空间科技有限公司 | Parallel human health information system |
| CN111933278A (en) * | 2020-08-29 | 2020-11-13 | 青海省疾病预防控制中心 | Chronic disease management system based on artificial intelligence |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022257675A1 (en) * | 2021-06-08 | 2022-12-15 | 广州工商学院 | Artificial intelligence-based personal health management system |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2022257675A1 (en) | 2022-12-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Din et al. | A decade of Internet of Things: Analysis in the light of healthcare applications | |
| US11039764B2 (en) | Biometric identification in medical devices | |
| US20190088373A1 (en) | Automated Assistant For Remote Patient Tracking, Diagnosing, Alerting, And Prevention Of Heart Diseases, Cardio Warning Service/System | |
| CN109543863A (en) | A kind of medical treatment task management method, server and storage medium | |
| EP3255573A1 (en) | Clinical decision supporting ensemble system and clinical decison supporting method using the same | |
| WO2020047171A1 (en) | Medical device and method for diagnosis and treatment of disease | |
| Fayn et al. | Toward a personal health society in cardiology | |
| US20160253687A1 (en) | System and method for predicting healthcare costs | |
| US20170177796A1 (en) | Method and system for intelligent completion of medical record based on big data analytics | |
| CN108648808A (en) | Follow-up plan example generation method and device | |
| Bedón-Molina et al. | A home-based smart health model | |
| US20230414151A1 (en) | Mobile electrocardiogram system | |
| EP3142736A1 (en) | Directing treatment of cardiovascular events by non-specialty caregivers | |
| CN210380924U (en) | Physical examination data mutual-recognition system of intelligent remote medical service cloud computing platform | |
| CN113223719A (en) | Personal health management system based on artificial intelligence | |
| Bodhe et al. | A proposed mobile based health care system for patient diagnosis using android OS | |
| CN114385797A (en) | Health data management method, system and device | |
| Verma et al. | Tele‐health monitoring using artificial intelligence deep learning framework | |
| Roy et al. | Integrating wearable devices and recommendation system: towards a next generation healthcare service delivery | |
| Eapen et al. | Drishti: A sense-plan-act extension to open mHealth framework using FHIR | |
| Lysø et al. | Men's sociotechnical imaginaries of artificial intelligence for prostate cancer diagnostics–A focus group study | |
| CN109545304A (en) | Medical care method, apparatus, equipment and storage medium based on Intelligent bracelet | |
| US20160117447A1 (en) | Method of managing medical information, apparatus of performing the same and storage medium storing the same | |
| CN113951852A (en) | Robot with file administration and medication management functions | |
| Corotinschi et al. | The use of iot technologies for providing high-quality medical services |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |