CN117672516A - Cardiovascular disease health management system based on user behaviors - Google Patents

Cardiovascular disease health management system based on user behaviors Download PDF

Info

Publication number
CN117672516A
CN117672516A CN202311638728.2A CN202311638728A CN117672516A CN 117672516 A CN117672516 A CN 117672516A CN 202311638728 A CN202311638728 A CN 202311638728A CN 117672516 A CN117672516 A CN 117672516A
Authority
CN
China
Prior art keywords
user
data
cardiovascular
internet
service
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
Application number
CN202311638728.2A
Other languages
Chinese (zh)
Inventor
刘正坤
刘正豪
李鑫
王悦
王珂
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tianjin University
Original Assignee
Tianjin University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Tianjin University filed Critical Tianjin University
Priority to CN202311638728.2A priority Critical patent/CN117672516A/en
Publication of CN117672516A publication Critical patent/CN117672516A/en
Pending legal-status Critical Current

Links

Landscapes

  • Medical Treatment And Welfare Office Work (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

The invention discloses a cardiovascular disease health management system based on user behaviors. The invention realizes data interaction, information sharing and service collaboration among users, doctors and managers by arranging a plurality of parts such as a user side, a doctor side, a management side, an Internet platform, an Internet data service, an Internet of things service, an Internet technology service, an Internet operation service, an Internet information processing service and the like, and provides comprehensive and integrated cardiovascular disease health management service for the users; the invention adopts advanced mathematical models and optimization algorithms such as a multiple linear regression model, a multiple logistic regression model, a multiple target optimization model, a genetic algorithm and the like, can effectively process a large amount of data of users, generates accurate and reliable probability and scoring results, and provides scientific and reasonable service and solution for the users.

Description

Cardiovascular disease health management system based on user behaviors
Technical Field
The invention relates to the technical field of cardiovascular disease health management, in particular to a cardiovascular disease health management system based on user behaviors.
Background
The existing chronic disease management modes (for example, hypertension) are: patients are uncomfortable to visit (community, second and third hospitals), all-level hospitals diagnose hypertension, community, second and third hospitals treat, regularly follow-up to dispense medicines, and the illness state is poorly controlled to visit to the upper-level hospitals. The disadvantage of this model is that the non-ill population lacks the initiative to prevent disease (low knowledge of hypertension), the ill population lacks knowledge of disease and health management (low treatment rate of hypertension), the aggressiveness of interaction with medical care (low control rate of hypertension), the risk factors of upstream cardiovascular diseases cannot be effectively prevented and controlled, resulting in increased incidence of downstream cardiovascular complications (coronary heart disease, cerebral stroke, heart failure, etc.). Meanwhile, communities passively cope with the examination of the existence of the chronic disease management, misreports and missing related data, so that data distortion (waste of medical labor cost) is caused;
for this reason, a cardiovascular disease-related system has been proposed, such as the one disclosed in China patent (publication No. CN113360847B, name: a cardiovascular disease prediction system and a cardiovascular disease management system including the prediction system); the method specifically comprises the following steps: (1) A non-ill resident subsystem for predicting the probability of a non-ill resident suffering from chronic cardiovascular disease; (2) And the diseased resident subsystem is used for predicting the downstream chronic cardiovascular disease probability of the diseased resident. According to the technical scheme provided by the invention, the non-ill resident can predict the chronic cardiovascular disease probability; the ill resident can predict the probability of downstream cardiovascular diseases, communicate with medical care, receive corresponding further evaluation and medical advice, receive the knowledge of prevention and control of chronic diseases, and carry out patient education
However, the system is difficult to evaluate the life style of the user according to the psychological and behavioral data of the user, and also difficult to provide personalized health advice and intervention measures, and also difficult to provide the services of prediction, diagnosis, treatment, rehabilitation and prevention of cardiovascular diseases;
to this end, we propose a cardiovascular disease health management system based on user behavior.
Disclosure of Invention
The invention aims to provide a cardiovascular disease health management system based on user behaviors, which has the advantages of predicting, evaluating, managing and preventing cardiovascular disease risks of users, providing personalized health suggestions and intervention measures, improving cardiovascular health level and life quality of users and solving the problems in the background technology.
In order to achieve the above object, the present invention provides the following technical solutions: the cardiovascular disease health management system based on user behaviors comprises a user side, a doctor side, a management side, an Internet platform, internet data service, internet of things service, internet technology service, internet operation service and Internet information processing service, wherein the user behaviors comprise healthy diet, physical activity, nicotine exposure, sleep health, BMI, blood fat, blood sugar and blood pressure in life health elements, and the system is used for predicting, evaluating, managing and preventing cardiovascular diseases based on data acquisition, analysis, evaluation, feedback, intervention and improvement of the user behaviors.
Preferably, the intelligent device at the user end collects physiological and biochemical indexes of heart rate, blood pressure, blood oxygen, blood sugar, blood fat, body temperature, weight, height, step number, calories, sleep quality of the user, collects social media data of the user through a smart phone, a tablet computer and a computer application program, extracts emotion, cognition, motivation, attitude and habit behavior data of the user through a psychological test, emotion recognition and voice analysis technology, and uploads the emotion, cognition, motivation, attitude and habit behavior data to the internet platform through a network or Bluetooth mode.
Preferably, the doctor side receives the data uploaded by the user side through the internet platform, and performs cleaning, fusion, excavation, modeling, optimizing and evaluating operations on the data through an artificial intelligence technology, wherein the probability adopts a multiple logistic regression model, the risk level of the cardiovascular disease of the user is comprehensively reflected according to physiological and biochemical indexes and interactions of the user, the higher the probability is, the greater the risk is, and the mathematical function of the model is as follows:
wherein p is the probability of occurrence of cardiovascular disease, X of the user 1 To X 8 Respectively heart rate, blood pressure, blood oxygen, blood sugar, blood fat, body temperature, weight, height, beta 0 To beta 36 Is a regression coefficient, is an error term;
Generating the probability of the user belonging to different living modes, wherein the probability adopts a multiple logistic regression model, and reflects the living habit related to the cardiovascular health of the user according to social media data, emotion, cognition, motivation, attitude and habit behavior data of the user, and the higher the probability, the healthier the living mode is, and the mathematical function of the model is as follows: z is Z i =a 0 +a 1 Y 1 +a 2 Y 2 +...+a 6 Y 6 +a 7 Y 1 Y 2 +...+a 21 Y 5 Y 6 +η;
Wherein Z is i Is the logarithmic probability that the user belongs to the ith life style, Y 1 To Y 6 Social media data, emotion, cognition, motivation, attitude and habit data of the user, alpha 0 To alpha 21 Is the regression coefficient, η is the error term;
and providing corresponding health advice and intervention measures for the user based on the probability result, generating individualized services for cardiovascular disease risk assessment, prediction, diagnosis, treatment, rehabilitation and prevention of the user, pushing the individualized services to the user side through the smart phone, the tablet computer and the computer application program, and simultaneously carrying out online or offline communication, consultation, guidance and education interaction with the user.
Preferably, the management end obtains the data of the user end and the doctor end through the internet platform, performs summarization, analysis, statistics and visualization operation on the data through a big data technology, displays the cardiovascular health condition of the user and the disease, treatment, rehabilitation and hierarchical diagnosis and treatment conditions of the cardiovascular disease, provides decision support for the health administration authorities, and simultaneously monitors and manages the data security, data privacy, data quality and data specification of the user end and the doctor end.
Preferably, the internet platform comprises a basic data management system, a gear establishment system, a daily monitoring system, a cardiovascular disease prediction system, a prompt system, an education system, an communication system, a user behavior evaluation system and a user behavior improvement system; the user behavior evaluation system scores and evaluates the user behavior based on the data and the standard of the user behavior, and the user behavior improvement system gives an improvement suggestion and a target of the user behavior and provides corresponding support and incentive based on the evaluation result of the user behavior;
the cardiovascular health score of the user adopts a multi-objective optimization model, and according to the occurrence probability of cardiovascular diseases of the user, the probability of the user belonging to different living modes, the distribution and change of the cardiovascular health score of the user, the meaning and the purpose of the cardiovascular health score of the user, a plurality of targets of the cardiovascular health score of the user are comprehensively considered, the cardiovascular health score of the user and corresponding feedback and suggestion are given, and the mathematical function of the model is as follows: min { f 1 (S),f 2 (S),f 3 (S),f 4 (S); where S is the cardiovascular health score of the user, f 1 (S) is the probability of occurrence of cardiovascular disease in the user, f 2 (S) is the probability that the user belongs to a life style of high risk or disease type, f 3 (S) is the variance of the cardiovascular health score of the user, f 4 (S) is the gap between the cardiovascular health score of the user and the needs and expectations of the user.
Preferably, the internet data service comprises a large data resource production service, a database service and a cloud database service, provides data resources related to cardiovascular diseases for users, and provides data storage, data backup and data recovery services for users.
Preferably, the service of the internet of things comprises an information sensing and sensing technology of the internet of things, information sensing and sensing equipment related to cardiovascular diseases is provided, and installation, maintenance and updating services of the equipment are provided for users.
Preferably, the internet technical service comprises an internet technical system service and an artificial intelligent network system service, provides a technical system related to cardiovascular diseases for users, and comprises a cardiovascular disease risk assessment system, a cardiovascular disease diagnosis auxiliary system, a cardiovascular disease treatment scheme recommendation system and a cardiovascular disease rehabilitation guidance system, and provides development, test, deployment and operation services for the users.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention achieves the effects of realizing data interaction, information sharing and service collaboration among users, doctors and managers, providing comprehensive and integrated cardiovascular disease health management service for users and has the advantages of strong comprehensiveness and sustainability by arranging a plurality of parts such as the user side, the doctor side, the management side, the Internet platform, the Internet data service, the Internet of things service, the Internet technology service, the Internet operation service, the Internet information processing service and the like.
2. The invention achieves the effects of collecting physiological and biochemical indexes of the user, such as heart rate, blood pressure, blood oxygen, blood sugar, blood fat, body temperature, weight, height and the like, and data of the user, such as step number, calories, sleep quality and the like by arranging the sensor module, the processor module, the communication module, the display module, the power module and the like, and has the advantages of high accuracy and instantaneity.
3. The invention achieves the effects of collecting psychological and behavioral data of the user and reflecting life habits related to cardiovascular health of the user by setting a plurality of data such as social media data, emotion, cognition, motivation, attitude, habit behavior data and the like, and has the advantages of strong relevance and representativeness.
4. By setting advanced mathematical models and optimization algorithms such as a multiple linear regression model, a multiple logistic regression model, a multiple target optimization model, a genetic algorithm and the like, the invention achieves the effects of effectively processing a large amount of data of users, generating accurate and reliable probability and scoring results and providing scientific and reasonable service and solutions for the users.
Drawings
FIG. 1 is a system frame diagram of the present invention;
FIG. 2 is a schematic diagram of a client intelligent device according to the present invention;
FIG. 3 is a schematic diagram of a doctor-side workflow of the present invention;
FIG. 4 is a schematic diagram of a management side workflow of the present invention;
FIG. 5 is a schematic diagram of an Internet platform architecture according to the present invention;
FIG. 6 is a schematic diagram of a multiple linear regression model of the present invention;
FIG. 7 is a schematic diagram of a multiple logistic regression model according to the present invention;
fig. 8 is a schematic diagram of the working principle of the user terminal of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 to 8, the present invention provides a technical solution: the invention relates to a cardiovascular disease health management system based on user behaviors, which can predict, evaluate, manage and prevent cardiovascular disease risks of users according to physiological, biochemical, psychological, behavioral and other data of the users, provide personalized health advice and intervention measures and improve cardiovascular health level and life quality of the users. The system comprises a user side, a doctor side, a management side, an Internet platform, an Internet data service, an Internet of things service, an Internet technology service, an Internet operation service and an Internet information processing service, wherein the functions and structures of the parts are as follows:
The user terminal: the user side refers to intelligent equipment used by a user, such as an intelligent watch, an intelligent bracelet, an intelligent sphygmomanometer, an intelligent glucometer, an intelligent weighing scale and the like, and intelligent mobile phones, tablet computers, computers and the like used by the user. The main functions of the user side are to collect physiological and biochemical indexes of the user, such as heart rate, blood pressure, blood oxygen, blood sugar, blood fat, body temperature, weight, height and the like, and the steps, calories, sleep quality and the like of the user. The user side can also collect social media data of the user and emotion, cognition, motivation, attitude and habit behavior data of the user, such as psychological test, emotion recognition, voice analysis and the like through installing corresponding application programs. The user end can upload the collected data to the Internet platform in a network or Bluetooth mode, so that the doctor end and the management end can analyze and process the collected data. The user side can also receive health suggestions and intervention measures pushed by the doctor side, and cardiovascular health related information and education content pushed by the management side. The user side can also carry out online or offline communication, consultation, guidance and education interaction with the doctor side so as to improve the cardiovascular health consciousness and the power of behavior change of the user.
Doctor end: doctor's end refers to smart mobile phone, tablet computer, computer etc. that doctor used. The main functions of the doctor side are to receive the data uploaded by the user side, and perform cleaning, fusion, mining, modeling, optimizing and evaluating operations on the data through an artificial intelligence technology, so as to generate the occurrence probability of cardiovascular diseases of the user, the probability of the user belonging to different living modes and the cardiovascular health score of the user. The doctor side can provide corresponding health advice and intervention measures for the user according to the probability and the grading result, generate individualized services for cardiovascular disease risk assessment, prediction, diagnosis, treatment, rehabilitation and prevention of the user, push the individualized services to the user side through the intelligent mobile phone, the tablet personal computer and the computer application program, and simultaneously carry out online or offline communication, consultation, guidance and education interaction with the user. The doctor can also perform professional communication, study, sharing and cooperation with other doctors through the Internet platform so as to improve the diagnosis and treatment level and service quality of cardiovascular diseases of the doctors.
Management end: the management end refers to a smart phone, a tablet personal computer, a computer and the like used by a health administration department. The management end has the main functions of acquiring data of the user end and the doctor end through an Internet platform, summarizing, analyzing, counting and visualizing the data through a big data technology, displaying cardiovascular health conditions of the user and the disease, treatment, rehabilitation and hierarchical diagnosis and treatment conditions of cardiovascular diseases, providing decision support for a health administration department, and simultaneously supervising and managing aspects of data safety, data privacy, data quality and data standardization of the user end and the doctor end. The management end can also push the cardiovascular health related information and education content to the user end and the doctor end through the Internet platform so as to improve the cardiovascular health consciousness and knowledge level of the user and the doctor.
The Internet platform: the Internet platform is a bridge connecting a user end, a doctor end and a management end, and is a platform for providing Internet data service, internet of things service, internet technology service, internet operation service and Internet information processing service. The internet platform has the main functions of receiving, storing, transmitting, processing data of a user side, a doctor side and a management side, and providing various technical systems and services, such as a cardiovascular disease risk assessment system, a cardiovascular disease diagnosis auxiliary system, a cardiovascular disease treatment scheme recommendation system, a cardiovascular disease rehabilitation guidance system and the like, as well as a basic data management system, a gear establishment system, a daily monitoring system, a cardiovascular disease prediction system, a prompt system, an education system, an exchange system, a user behavior assessment system, a user behavior improvement system and the like. The internet platform can also provide various data resources and equipment, such as a large data resource production service, a database and cloud database service, an internet of things information sensing and sensing technology and the like, and provide data storage, data backup, data recovery service, equipment installation, maintenance, update service and the like for users.
Internet data service: internet data services refer to services that provide data resources related to cardiovascular disease to users, as well as data storage, data backup, and data recovery services to users. The internet data service has the main functions of producing large data resource service, database and cloud database service, providing data resources related to cardiovascular diseases for users, such as epidemiological data of cardiovascular diseases, clinical data of cardiovascular diseases, gene data of cardiovascular diseases, drug data of cardiovascular diseases, literature data of cardiovascular diseases and the like, providing data storage, data backup and data recovery service for users, and ensuring the data safety and usability of users.
The service of the Internet of things: the internet of things service refers to a service for providing information sensing and sensing equipment related to cardiovascular diseases and providing installation, maintenance and update services for equipment for users. The main functions of the internet of things service are the internet of things information sensing and sensing technology, providing information sensing and sensing equipment related to cardiovascular diseases, such as intelligent watches, intelligent bracelets, intelligent sphygmomanometers, intelligent glucometers, intelligent weighing scales and the like, providing equipment installation, maintenance and updating services for users, and ensuring the normal operation of the equipment and the accuracy of data.
The internet technical service: internet technology services refer to the provision of technical systems related to cardiovascular diseases to users, and the provision of services for development, testing, deployment, and operation of the systems to users. The main functions of the internet technical service are internet technical system service and artificial intelligent network system service, which provide cardiovascular disease related technical systems for users, including cardiovascular disease risk assessment systems, cardiovascular disease diagnosis auxiliary systems, cardiovascular disease treatment scheme recommendation systems, cardiovascular disease rehabilitation guidance systems and the like, and provide system development, test, deployment and operation services for users. The technical systems adopt artificial intelligence technology such as machine learning, deep learning, natural language processing, computer vision, knowledge graph and the like, and intelligently generate and provide personalized services and solutions according to data and requirements of users, so that cardiovascular health level and life quality of the users are improved.
Internet operation service: the internet operation service refers to a service for providing operation, maintenance, update, optimization, security and monitoring services of the internet platform for users. The main functions of the Internet operation service are ensuring the normal operation and high-efficiency performance of the Internet platform, protecting the safety and stability of the Internet platform, preventing faults, attacks, leakage and the like of the Internet platform, monitoring the operation state and user feedback of the Internet platform, finding and solving problems in time, and continuously improving and optimizing the functions and services of the Internet platform.
Internet information processing service: the internet information processing service refers to a service that provides information processing, analysis, mining, visualization, and presentation services of an internet platform for users. The internet information processing service has the main functions of carrying out information processing on data of a user side, a doctor side and a management side, such as data cleaning, data fusion, data mining, data modeling, data optimization, data evaluation and the like, and analyzing, mining, visualizing and presenting the data, such as data statistics, data analysis, data visualization, data reporting, data display and the like, so that users, doctors and managers can better understand and utilize the data, and the value and meaning of the data are improved.
The working principle and the execution process of the invention are as follows:
a user collects physiological and biochemical indexes such as heart rate, blood pressure, blood oxygen, blood sugar, blood fat, body temperature, weight, height and the like, and the steps, calories, sleep quality and the like of the user through intelligent equipment at the user side. The user can also collect social media data of the user and emotion, cognition, motivation, attitude and habit behavior data of the user through the application program of the user side, such as psychological test, emotion recognition, voice analysis and the like. The user can upload the collected data to the internet platform in a network or Bluetooth mode, so that the doctor end and the management end can analyze and process the collected data.
And the doctor receives the data uploaded by the user terminal through the doctor terminal application program, and performs cleaning, fusion, mining, modeling, optimizing and evaluating operations on the data through the information processing service of the Internet platform to generate the occurrence probability of cardiovascular diseases of the user, the probability of the user belonging to different living modes and the cardiovascular health score of the user. The doctor can also provide corresponding health advice and intervention measures for the user according to the probability and the grading result, generate personalized services for cardiovascular disease risk assessment, prediction, diagnosis, treatment, rehabilitation and prevention of the user, push the personalized services to the user side through the operation services of the Internet platform, and simultaneously carry out online or offline communication, consultation, guidance and education interaction with the user. Doctors can also perform professional communication, learning, sharing and cooperation with other doctors through the communication system of the Internet platform so as to improve the diagnosis and treatment level and service quality of cardiovascular diseases of the doctors.
The manager obtains the data of the user side and the doctor side through the application program of the management side, gathers, analyzes, counts and visualizes the data through the information processing service of the Internet platform, displays the cardiovascular health condition of the user and the disease, treatment, rehabilitation and hierarchical diagnosis and treatment conditions of the cardiovascular diseases, provides decision support for the health administration and management department, and simultaneously monitors and manages the aspects of data security, data privacy, data quality and data standardization of the user side and the doctor side. The manager can push the cardiovascular health related information and education content to the user side and the doctor side through the education system of the Internet platform so as to improve the cardiovascular health consciousness and knowledge level of the user and the doctor.
The mathematical model and optimization algorithm of the invention are as follows:
1. calculation of the probability of occurrence of cardiovascular diseases in the user: the invention adopts a multiple linear regression model, and comprehensively reflects the cardiovascular disease risk level of a user according to the physiological and biochemical indexes and interaction of the user, wherein the higher the probability is, the larger the risk is, and the mathematical function of the model is as follows:
probability of cardiovascular disease occurrence, X 1 To X 8 Respectively heart rate, blood pressure, blood oxygen, blood sugar, blood fat, body temperature, weight, height, beta 0 To beta 36 Is a regression coefficient, is an error term; the invention adopts a least square method to estimate the regression coefficient so as to minimize the square sum of errors, namely:
where n is the number of users, P i Is the actual probability of occurrence of cardiovascular disease for the ith user,/->Is the predicted probability of occurrence of cardiovascular disease for the ith user.
2. Calculation of probabilities that users belong to different living modes: according to social media data, emotion, cognition, motivation, attitude and habit behavior data of a user, a multiple logistic regression model is adopted, life habits related to cardiovascular health of the user are reflected, the higher the probability is, the healthier the life style is, and the mathematical function of the model is as follows: z is Z i =a 0 +a 1 Y 1 +a 2 Y 2 +...+a 6 Y 6 +a 7 Y 1 Y 2 +...+a 21 Y 5 Y 6 +η; wherein Z is i Is the logarithmic probability that the user belongs to the ith life style, Y 1 To Y 6 Social media data, emotion, cognition, motivation, attitude and habit data of the user, alpha 0 To alpha 21 Is the regression coefficient, η is the error term; the invention adopts a maximum likelihood method to estimate the regression coefficient so as to maximize the likelihood function, namely:
where n is the number of users and e is the base of the natural logarithm.
3. Calculation of cardiovascular health score for the user: the invention adopts a multi-objective optimization model, comprehensively considers a plurality of objectives of the cardiovascular health score of the user according to the occurrence probability of the cardiovascular disease of the user, the probability of the user belonging to different living modes, the distribution and the change of the cardiovascular health score of the user and the meaning and the purpose of the cardiovascular health score of the user, balances the effectiveness, the fairness, the stability, the sensitivity, the availability and the satisfaction of the cardiovascular health score of the user and gives the cardiovascular health score and the satisfaction of the userCorresponding feedback and advice, the mathematical function of the model is: min { f 1 (S),f 2 (S),f 3 (S),f 4 (S), where S is the cardiovascular health score of the user, f 1 (S) is the probability of occurrence of cardiovascular disease in the user, f 2 (S) is the probability that the user belongs to a life style of high risk or disease type, f 3 (S) is the variance of the cardiovascular health score of the user, f 4 (S) is the difference between the cardiovascular health score of the user and the needs and expectations of the user, and the invention adopts a genetic algorithm to optimize the score so that the score can meet the constraint of a plurality of targets, namely: f (f) 1 (S)≤θ 1 ,f 2 (S)≤θ 2 ,f 3 (S)≤θ 3 ,f 4 (S)≤θ 4 Wherein θ 1 To theta 4 Is a threshold value of the score representing the maximum allowable value of the difference between the cardiovascular health score of the user and the needs and expectations of the user, respectively, the probability of occurrence of cardiovascular diseases of the user, the probability of the user belonging to life style of high risk type or disease type, the variance of the cardiovascular health score of the user. The genetic algorithm is an optimization algorithm simulating natural selection and genetic mechanism, and the optimal score is finally obtained through the operations of coding, initializing, selecting, crossing, mutation, evaluating and the like on the score, and evolution from generation to generation.
Examples of the invention and comparative experiments are presented below to illustrate the innovative points and advantages of the invention.
Example 1: this embodiment is directed to the use of a cardiovascular disease health management system for a group of middle-aged male users. The group has the characteristics of high working pressure, poor living habit, lack of exercise, smoking and drinking, and easiness in suffering from cardiovascular diseases such as hypertension, hyperlipidemia, hyperglycemia and the like. The technical purpose of this embodiment is to predict, evaluate, manage, and prevent cardiovascular disease risk of the group, provide personalized health advice and intervention measures, and improve cardiovascular health level and quality of life of the group through the system of the invention. The innovation point of the embodiment is that the cardiovascular disease health management system based on the user behaviors is adopted, the cardiovascular disease risk of the user can be predicted, estimated, managed and prevented according to the physiological, biochemical, psychological, behavioral and other data of the user, personalized health suggestions and intervention measures are provided, and the cardiovascular health level and the quality of life of the user are improved. The application scenario of this embodiment is as follows:
The users of the group collect own physiological and biochemical indexes such as heart rate, blood pressure, blood oxygen, blood sugar, blood fat, body temperature, weight, height and the like, and the steps, calories, sleep quality and the like of the users at regular time by the intelligent equipment of the user side. The user can also collect social media data of the user and emotion, cognition, motivation, attitude and habit behavior data of the user, such as psychological test, emotion recognition, voice analysis and the like, periodically every week through the application program of the user side. The user can upload the collected data to the internet platform in a network or Bluetooth mode, so that the doctor end and the management end can analyze and process the collected data.
The doctors of the group receive data uploaded by the user end at regular time every day through a doctor end application program, and perform cleaning, fusion, mining, modeling, optimizing and evaluating operations on the data through an information processing service of an Internet platform, so as to generate the occurrence probability of cardiovascular diseases of the user, the probability that the user belongs to different living modes and the cardiovascular health score of the user. The doctor can also provide corresponding health advice and intervention measures such as diet control, exercise planning, smoking cessation and alcohol withdrawal, drug treatment, psychological counseling and the like for the user according to the probability and scoring results, and meanwhile generates individualized services for cardiovascular disease risk assessment, prediction, diagnosis, treatment, rehabilitation and prevention of the user, and the individualized services are pushed to the user side through operation services of an Internet platform, and meanwhile, online or offline communication, consultation, guidance and educational interaction are carried out with the user. Doctors can also perform professional communication, learning, sharing and cooperation with other doctors through the communication system of the Internet platform so as to improve the diagnosis and treatment level and service quality of cardiovascular diseases of the doctors.
The manager of the group regularly acquires data of the user side and the doctor side through the application program of the management side every month, performs summarizing, analyzing, counting and visualizing operations on the data through the information processing service of the Internet platform, displays the cardiovascular health condition of the group and the disease, treatment, rehabilitation and grading diagnosis and treatment conditions of the cardiovascular diseases, provides decision support for the administrative department of health, and simultaneously monitors and manages the aspects of data safety, data privacy, data quality and data standardization of the user side and the doctor side. The manager can also push the cardiovascular health related information and education content to the user side and the doctor side through the education system of the Internet platform so as to improve the cardiovascular health consciousness and knowledge level of the group.
The comparative experiment of this example is as follows:
in order to verify the effectiveness and superiority of the present invention, a comparison experiment is performed between the present embodiment and the existing cardiovascular disease health management system, and the existing system can only evaluate the cardiovascular disease risk of the user according to the physiological and biochemical indexes of the user, cannot evaluate the life style of the user according to the psychological and behavioral data of the user, cannot provide personalized health advice and intervention measures, and cannot provide the services of prediction, diagnosis, treatment, rehabilitation and prevention of cardiovascular diseases. The subjects of the comparison experiment were 100 middle-aged male users, the experiment time was 6 months, and the indexes of the experiment were the occurrence probability of cardiovascular diseases of the users, the probability of the users belonging to different living modes, the cardiovascular health score of the users, the cardiovascular health related behavior change of the users and the cardiovascular health related life quality of the users. The results of the comparative experiments are shown in table 1:
Table 1: comparing the experimental results
As can be seen from Table 1, compared with the prior art, the invention can remarkably reduce the occurrence probability of cardiovascular diseases of the user, improve the probability that the user belongs to a healthy life style, improve the cardiovascular health score of the user, promote the cardiovascular health related behavior change of the user and improve the cardiovascular health related life quality of the user. These results show that the invention can effectively predict, evaluate, manage and prevent the cardiovascular disease risk of the user, provide personalized health advice and intervention measures, improve the cardiovascular health level and life quality of the user, and has obvious innovation points and advantages.
Example 2:
example 2 is the use of a cardiovascular disease health management system for a group of elderly female users. The population is characterized by older age, has climacteric syndrome, and is susceptible to cardiovascular diseases such as mood swings, osteoporosis, hypertension and the like. The technical purpose of this embodiment is to predict, evaluate, manage, and prevent cardiovascular disease risk of the group, provide personalized health advice and intervention measures, and improve cardiovascular health level and quality of life of the group through the system of the invention. The innovation point of the embodiment is that the cardiovascular disease health management system based on the user behaviors is adopted, the cardiovascular disease risk of the user can be predicted, estimated, managed and prevented according to the physiological, biochemical, psychological, behavioral and other data of the user, personalized health suggestions and intervention measures are provided, and the cardiovascular health level and the quality of life of the user are improved. The application scenario of this embodiment is as follows:
The users of the group collect own physiological and biochemical indexes such as heart rate, blood pressure, blood oxygen, blood sugar, blood fat, body temperature, weight, height and the like, and the steps, calories, sleep quality and the like of the users at regular time by the intelligent equipment of the user side. The user can also collect social media data of the user and emotion, cognition, motivation, attitude and habit behavior data of the user, such as psychological test, emotion recognition, voice analysis and the like, periodically every week through the application program of the user side. The user can upload the collected data to the internet platform in a network or Bluetooth mode, so that the doctor end and the management end can analyze and process the collected data.
The doctors of the group receive data uploaded by the user end at regular time every day through a doctor end application program, and perform cleaning, fusion, mining, modeling, optimizing and evaluating operations on the data through an information processing service of an Internet platform, so as to generate the occurrence probability of cardiovascular diseases of the user, the probability that the user belongs to different living modes and the cardiovascular health score of the user. The doctor can also provide corresponding health advice and intervention measures such as hormone replacement therapy, calcium supplement, blood pressure control, emotion adjustment, psychological counseling and the like for the user according to the probability and scoring results, and meanwhile generates individualized services for cardiovascular disease risk assessment, prediction, diagnosis, treatment, rehabilitation and prevention of the user, and the individualized services are pushed to the user side through operation services of an Internet platform, and meanwhile, online or offline communication, consultation, guidance and educational interaction are carried out with the user. Doctors can also perform professional communication, learning, sharing and cooperation with other doctors through the communication system of the Internet platform so as to improve the diagnosis and treatment level and service quality of cardiovascular diseases of the doctors.
The manager of the group regularly acquires data of the user side and the doctor side through the application program of the management side every month, performs summarizing, analyzing, counting and visualizing operations on the data through the information processing service of the Internet platform, displays the cardiovascular health condition of the group and the disease, treatment, rehabilitation and grading diagnosis and treatment conditions of the cardiovascular diseases, provides decision support for the administrative department of health, and simultaneously monitors and manages the aspects of data safety, data privacy, data quality and data standardization of the user side and the doctor side. The manager can also push the cardiovascular health related information and education content to the user side and the doctor side through the education system of the Internet platform so as to improve the cardiovascular health consciousness and knowledge level of the group.
The comparative experiment of this example is as follows:
in order to verify the effectiveness and superiority of the present invention, a comparison experiment is performed between the present embodiment and the existing cardiovascular disease health management system, and the existing system can only evaluate the cardiovascular disease risk of the user according to the physiological and biochemical indexes of the user, cannot evaluate the life style of the user according to the psychological and behavioral data of the user, cannot provide personalized health advice and intervention measures, and cannot provide the services of prediction, diagnosis, treatment, rehabilitation and prevention of cardiovascular diseases. The subject of the comparison experiment was 100 elderly female users, the time of the experiment was 6 months, and the index of the experiment was the probability of occurrence of cardiovascular disease of the user, the probability of the user belonging to different life forms, the cardiovascular health score of the user, the cardiovascular health related behavior change of the user, and the cardiovascular health related quality of life of the user. The results of the comparative experiments are shown in table 2:
Table 2: comparing the experimental results
As can be seen from Table 2, compared with the prior art, the invention can remarkably reduce the occurrence probability of cardiovascular diseases of the user, improve the probability that the user belongs to a healthy life style, improve the cardiovascular health score of the user, promote the cardiovascular health related behavior change of the user and improve the cardiovascular health related life quality of the user. These results show that the invention can effectively predict, evaluate, manage and prevent the cardiovascular disease risk of the user, provide personalized health advice and intervention measures, improve the cardiovascular health level and life quality of the user, and has obvious innovation points and advantages.
Example 3:
the present example is directed to a group of elderly women who have family history of cardiovascular diseases, but who pay attention to their health status, go to hospital for inspection frequently, and have certain health knowledge and behaviors, but they lack effective health assessment and management tools, cannot know their cardiovascular health status and improving direction in time, and cannot effectively communicate and interact with doctors and other users, thus easily causing misdiagnosis and missed diagnosis of cardiovascular diseases, and affecting treatment and prevention of cardiovascular diseases. In order to help the group of people to improve the cardiovascular health assessment and management level, the cardiovascular disease health management system based on the user behavior is adopted in the embodiment, and the specific application scene and effect are as follows:
1. The group of people first needs to register and fill in some basic information such as name, age, sex, occupation, family history, past history, allergy history and the like on the internet platform, then collect own physiological and biochemical indexes such as heart rate, blood pressure, blood oxygen, blood sugar, blood fat, body temperature, weight, height, step number, calories, sleep quality and the like through intelligent devices at a user side such as a smart bracelet, a smart watch, a smart sphygmomanometer, a smart blood glucose meter, a smart weight scale and the like periodically or in real time, and upload data to the internet platform through a network or Bluetooth mode.
2. The group of people also needs to authorize the internet platform to collect social media data of the group of people through smart phones, tablet computers and computer application programs, and upload the data to the internet platform in a network mode.
3. The group of people also need to participate in psychological test, emotion recognition, voice analysis and other technologies provided by the internet platform through smart phones, tablet personal computers and computer application programs, extract own emotion, cognition, motivation, attitude, habit behaviors and other data, and upload the data to the internet platform in a network mode.
4. The internet platform carries out operations such as cleaning, fusion, mining, modeling, optimizing and evaluating on the data uploaded by the group of people to generate the occurrence probability of cardiovascular diseases of the group of people and the probability that the group of people belong to different living modes, adopts a multiple linear regression model and a multiple logistic regression model, and comprehensively reflects the cardiovascular disease risk level and the living habit related to cardiovascular health of the group of people according to the physiological and biochemical indexes and interaction thereof, social media data, emotion, cognition, motivation, attitude and habit behavior data of the group of people, wherein the higher the probability is, the healthier the risk or living mode is, and mathematical functions of the two models are as follows:
Z i =a 0 +a 1 Y 1 +a 2 Y 2 +...+a 6 Y 6 +a 7 Y 1 Y 2 +...+a 21 Y 5 Y 6 +η; wherein P is the occurrence probability of cardiovascular diseases of the group of people, X1 to X8 are the heart rate, blood pressure, blood oxygen, blood sugar, blood fat, body temperature, weight and height of the group of people respectively, beta 0 to beta 36 are regression coefficients, and are error terms; zi is the logarithmic probability that the group of people belongs to the ith lifestyle, Y1 to Y6 are social media data, emotion, cognition, motivation, attitude and habit behavior data of the group of people respectively, alpha 0 to alpha 21 are regression coefficients, and eta is an error term;
5. the internet platform provides corresponding health advice and intervention measures such as diet, exercise, smoking cessation, sleep, medicines, surgery and the like for the group of people according to the occurrence probability of cardiovascular diseases of the group of people and the probability that the group of people belong to different living modes, generates individualized services such as risk assessment, prediction, diagnosis, treatment, rehabilitation and prevention of the group of people, such as risk level, incidence probability, diagnosis result, treatment scheme, rehabilitation plan, preventive measures and the like, and pushes the services to a user side through a smart phone, a tablet computer and a computer application program, and simultaneously carries out online or offline communication, consultation, guidance, educational interaction such as video, voice, characters, pictures, animation, games and the like with the group of people;
6. The internet platform performs operations such as summarizing, analyzing, counting, visualizing and the like on the data of the group of people, displays cardiovascular health conditions of the group of people and morbidity, treatment, rehabilitation and grading diagnosis and treatment conditions of cardiovascular diseases, such as cardiovascular health score, morbidity, mortality, cure rate, recurrence rate and grading diagnosis and treatment proportion of the group of people, provides the information for health administration authorities, provides decision support for the health administration authorities, such as making a control policy of the cardiovascular diseases, distributing medical resources of the cardiovascular diseases, evaluating control effect of the cardiovascular diseases and the like, and simultaneously monitors and manages aspects such as encryption, authorization, auditing, backup, recovery, deletion and the like of the data safety, data privacy, data quality and data standardization of the group of people.
The application effect and superiority of this embodiment are as follows:
the embodiment can effectively improve the cardiovascular health assessment and management level of the group of people, so that the people can know the cardiovascular health condition and improvement direction of the people in time, and select proper health advice and intervention measures according to the actual condition of the people, thereby achieving the best cardiovascular health effect, avoiding misdiagnosis and missed diagnosis of cardiovascular diseases and improving the treatment and prevention effects of the cardiovascular diseases.
The embodiment can effectively provide interactive health education for the group of people, so that the people can know basic knowledge, risk factors, prevention methods, treatment progress and the like of cardiovascular diseases through various forms such as videos, voices, characters, pictures, animations, games and the like, the health literacy and self-management capability of the people are enhanced, and meanwhile, the people can communicate, consult, share and mutually assist with doctors and other users, so that a positive cardiovascular health community is formed.
The embodiment can effectively provide data-driven health assessment of the group of people, so that the people can accurately predict and assess the cardiovascular disease risk and life style through a multiple linear regression model and a multiple logistic regression model, and simultaneously give the cardiovascular health score and corresponding feedback and advice through a multiple objective optimization model, so that the people can clearly know the health condition and improving direction of the people, and simultaneously excite the health motivation and behavior change of the people.
The embodiment can effectively provide the health management supported by the data of the group of people, so that the group of people can acquire the health data and services of the group of people at any time and any place through the internet platform, such as risk assessment, prediction, diagnosis, treatment, rehabilitation, prevention and the like of cardiovascular diseases, and meanwhile, the safety, privacy, quality, standardization and the like of the data of the group of people are ensured through the internet data service, the internet technical service, the internet operation service and the internet information processing service, and meanwhile, the data sharing, exchange and cooperation with doctors and managers are carried out through the internet platform, so that the classified diagnosis and treatment and the accurate treatment of the cardiovascular diseases are realized.
To verify the effect and superiority of this example, this example conducted the following comparative experiment:
in this example, 100 elderly women were selected as the experimental group, who used the cardiovascular disease health management system based on user behavior of the present invention, while 100 elderly women were selected as the control group, who used the conventional cardiovascular disease health management system, i.e., only basic data acquisition and health guidance functions. The basic situation for both groups of people is shown in table 3:
table 3: basic conditions of two groups of people
In this embodiment, two groups of people use respective cardiovascular disease health management systems respectively for 6 months, during which data such as their physiological and biochemical indexes, social media data, emotion, cognition, motivation, attitude, habit and behavior, and data such as their cardiovascular disease occurrence probability, cardiovascular health score, cardiovascular disease onset, treatment, rehabilitation, and grading diagnosis and treatment conditions are recorded regularly, and finally, the data change and difference of the two groups of people are compared, and the results are shown in table 4:
table 4: data change and variance for two groups of people
The embodiment compares the data change and difference of two groups of people, finds that indexes such as blood pressure, blood fat, blood sugar, BMI, cardiovascular disease occurrence probability and the like of an experimental group are obviously reduced, indexes such as cardiovascular health score and the like are obviously increased, indexes such as morbidity, mortality, recurrence rate and the like of the cardiovascular disease of the experimental group are obviously reduced, indexes such as cure rate, grading diagnosis and treatment proportion and the like of the cardiovascular disease are obviously improved, and shows that the embodiment can effectively improve cardiovascular health evaluation and management level of the group of people, enable the people to know cardiovascular health condition and improvement direction of the people in time, provide personalized health service and management, realize grading diagnosis and treatment and accurate medical treatment of the cardiovascular disease, and has obvious superiority and innovation.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations may be made therein without departing from the spirit and scope of the invention as defined by the appended claims and their equivalents.

Claims (8)

1. The cardiovascular disease health management system based on user behavior comprises a user side, a doctor side, a management side, an Internet platform, internet data service, internet of things service, internet technical service, internet operation service and Internet information processing service, and is characterized in that: the user behavior comprises healthy diet, physical activity, nicotine exposure, sleep health, BMI, blood fat, blood sugar and blood pressure in life health elements, and the system is used for predicting, evaluating, managing and preventing cardiovascular diseases based on data acquisition, analysis, evaluation, feedback, intervention and improvement of the user behavior.
2. A cardiovascular disease health management system based on user behavior according to claim 1, characterized in that: the intelligent equipment at the user side collects physiological and biochemical indexes of heart rate, blood pressure, blood oxygen, blood sugar, blood fat, body temperature, weight, height, step number, calories, sleep quality of the user, collects social media data of the user through intelligent mobile phones, tablet computers and computer application programs, extracts emotion, cognition, motivation, attitude and habit behavior data of the user through a psychological test, emotion recognition and voice analysis technology, and uploads the emotion, cognition, motivation, attitude and habit behavior data to the Internet platform through a network or Bluetooth mode.
3. A cardiovascular disease health management system based on user behavior according to claim 1, characterized in that: the doctor receives the data uploaded by the user through the Internet platform, and performs cleaning, fusion, excavation, modeling, optimizing and evaluating operations on the data through an artificial intelligence technology, wherein the probability adopts a multiple logistic regression model, the risk level of cardiovascular diseases of the user is comprehensively reflected according to physiological and biochemical indexes and interaction of the user, and the higher the probability is, the greater the risk is, and the mathematical function of the model is as follows:
wherein p is the probability of occurrence of cardiovascular disease, X of the user 1 To X 8 Respectively heart rate, blood pressure, blood oxygen, blood sugar, blood fat, body temperature, weight, height, beta 0 To beta 36 Is a regression coefficient, is an error term;
generating the probability of the user belonging to different living modes, wherein the probability adopts a multiple logistic regression model, and reflects the living habit related to the cardiovascular health of the user according to social media data, emotion, cognition, motivation, attitude and habit behavior data of the user, and the higher the probability, the healthier the living mode is, and the mathematical function of the model is as follows: z is Z i =a 0 +a 1 Y 1 +a 2 Y 2 +...+a 6 Y 6 +a 7 Y 1 Y 2 +...+a 21 Y 5 Y 6 +η;
Wherein Z is i Is the logarithmic probability that the user belongs to the ith life style, Y 1 To Y 6 Social media data, emotion, cognition, motivation, attitude and habit data of the user, alpha 0 To alpha 21 Is the regression coefficient, η is the error term;
and providing corresponding health advice and intervention measures for the user based on the probability result, generating individualized services for cardiovascular disease risk assessment, prediction, diagnosis, treatment, rehabilitation and prevention of the user, pushing the individualized services to the user side through the smart phone, the tablet computer and the computer application program, and simultaneously carrying out online or offline communication, consultation, guidance and education interaction with the user.
4. A cardiovascular disease health management system based on user behavior according to claim 1, characterized in that: the management end obtains data of the user end and the doctor end through an internet platform, performs summarization, analysis, statistics and visualization operation on the data through a big data technology, displays cardiovascular health conditions of the user and disease, treatment, rehabilitation and hierarchical diagnosis and treatment conditions of cardiovascular diseases, provides decision support for a health administration department, and simultaneously monitors and manages data safety, data privacy, data quality and data specification of the user end and the doctor end.
5. A cardiovascular disease health management system based on user behavior according to claim 1, characterized in that: the internet platform comprises a basic data management system, a gear establishment system, a daily monitoring system, a cardiovascular disease prediction system, a prompt system, an education system, an exchange system, a user behavior evaluation system and a user behavior improvement system; the user behavior evaluation system scores and evaluates the user behavior based on the data and the standard of the user behavior, and the user behavior improvement system gives an improvement suggestion and a target of the user behavior and provides corresponding support and incentive based on the evaluation result of the user behavior;
the cardiovascular health score of the user adopts a multi-objective optimization model, and according to the occurrence probability of cardiovascular diseases of the user, the probability of the user belonging to different living modes, the distribution and change of the cardiovascular health score of the user, the meaning and the purpose of the cardiovascular health score of the user, a plurality of targets of the cardiovascular health score of the user are comprehensively considered, the cardiovascular health score of the user and corresponding feedback and suggestion are given, and the mathematical function of the model is as follows: min { f 1 (S),f 2 (S),f 3 (S),f 4 (S); where S is the cardiovascular health score of the user, f 1 (S) is the probability of occurrence of cardiovascular disease in the user, f 2 (S) is the probability that the user belongs to a life style of high risk or disease type, f 3 (S) is the variance of the cardiovascular health score of the user, f 4 (S) is the gap between the cardiovascular health score of the user and the needs and expectations of the user.
6. A cardiovascular disease health management system based on user behavior according to claim 1, characterized in that: the internet data service comprises a large data resource production service, a database and a cloud database service, provides data resources related to cardiovascular diseases for users, and provides data storage, data backup and data recovery services for users.
7. A cardiovascular disease health management system based on user behavior according to claim 1, characterized in that: the internet of things service comprises internet of things information sensing and sensing technology, provides information sensing and sensing equipment related to cardiovascular diseases, and provides equipment installation, maintenance and updating services for users.
8. A cardiovascular disease health management system based on user behavior according to claim 1, characterized in that: the Internet technical service comprises Internet technical system service and artificial intelligent network system service, provides a technical system related to cardiovascular diseases for users, and comprises a cardiovascular disease risk assessment system, a cardiovascular disease diagnosis auxiliary system, a cardiovascular disease treatment scheme recommendation system and a cardiovascular disease rehabilitation guidance system, and provides system development, test, deployment and operation services for users.
CN202311638728.2A 2023-12-01 2023-12-01 Cardiovascular disease health management system based on user behaviors Pending CN117672516A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311638728.2A CN117672516A (en) 2023-12-01 2023-12-01 Cardiovascular disease health management system based on user behaviors

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311638728.2A CN117672516A (en) 2023-12-01 2023-12-01 Cardiovascular disease health management system based on user behaviors

Publications (1)

Publication Number Publication Date
CN117672516A true CN117672516A (en) 2024-03-08

Family

ID=90070766

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311638728.2A Pending CN117672516A (en) 2023-12-01 2023-12-01 Cardiovascular disease health management system based on user behaviors

Country Status (1)

Country Link
CN (1) CN117672516A (en)

Similar Documents

Publication Publication Date Title
US11838365B1 (en) Patient engagement with clinical trial participants through actionable insights and customized health information
Hidalgo et al. glUCModel: A monitoring and modeling system for chronic diseases applied to diabetes
Eddy et al. Clinical outcomes and cost-effectiveness of strategies for managing people at high risk for diabetes
US8579784B2 (en) Personalized prognosis modeling in medical treatment planning
US7805385B2 (en) Prognosis modeling from literature and other sources
US20160342753A1 (en) Method and apparatus for healthcare predictive decision technology platform
Pesl et al. An advanced bolus calculator for type 1 diabetes: system architecture and usability results
US20060025931A1 (en) Method and apparatus for real time predictive modeling for chronically ill patients
CN105308601A (en) Healthcare support system and method
US20210256872A1 (en) Devices, systems, and methods for predicting blood glucose levels based on a personalized blood glucose regulation model
US20090198516A1 (en) System and method of managing diabetes employing an interactive website
Van Dyk The development of a telemedicine service maturity model
Ben-Assuli Measuring the cost-effectiveness of using telehealth for diabetes management: a narrative review of methods and findings
Duckett Value-based healthcare: fad or fabulous?
Degoulet et al. Computer-assisted techniques for evaluation and treatment of hypertensive patients
CN112466423A (en) Intelligent chronic disease health management method and system
US20200005940A1 (en) System and method for generating a care services combination for a user
Lum et al. The development and demise of a cataract surgery database
US20230320653A1 (en) Apparatus for managing atopic dermatitis based on learning model and method therefor
CN117672516A (en) Cardiovascular disease health management system based on user behaviors
Neves et al. Causal dynamic Bayesian networks for the management of glucose control in gestational diabetes
Langarica et al. Deep Learning-Based Glucose Prediction Models: A Guide for Practitioners and a Curated Dataset for Improved Diabetes Management
Birov et al. MAFEIP user guide
US20220036987A1 (en) Utilizing healthcare providers network effect to increase compliance for better health outcomes
Morrison Digital health and care institutes: Scottish diabetes policy and market report

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