Chronic disease management method and system based on big data
By designing a large data-based chronic disease management system with multiple modules, the problem of insufficient real-time monitoring and personalized management in traditional chronic disease management methods is solved, efficient and intelligent chronic disease management is achieved, and management efficiency and user satisfaction are improved.
Patent Information
- Application Number
- CN202411977410.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-31
- Publication Date
- 2025-03-21
AI Technical Summary
The traditional chronic disease management methods have problems such as difficulty in real-time monitoring, uneven resource allocation and insufficient personalized management. The existing chronic disease management system based on big data lacks in-depth mining and intelligent decision-making capabilities, and it is difficult to meet the complex chronic disease management needs.
A chronic disease management system based on big data is designed, including a cloud data server, user data acquisition device, data storage module, chronic disease central module, chronic disease evaluation management module and data processing module, and communication module. The system collects user data in real time, conducts in-depth analysis and intelligent decision-making, and generates personalized chronic disease management plans and evaluation results.
It realizes efficient chronic disease management, and through real-time monitoring and intelligent decision-making, timely discovers disease changes and management problems, provides personalized management suggestions, improves management efficiency and user satisfaction, and optimizes the allocation of medical resources.
Smart Images
Figure CN119673488A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of medical care, and in particular to a chronic disease management method and management system based on big data. Background Art
[0002] Traditional medical models often focus on the treatment of diseases, but are unable to cope with the long-term management and prevention of chronic diseases. Therefore, it is particularly urgent to develop an efficient and intelligent chronic disease management system to achieve early detection, continuous monitoring, scientific management and effective intervention of chronic diseases.
[0003] Traditional chronic disease management methods have many shortcomings. First, patients often need to go to medical institutions for physical examinations and consultations regularly, which is not only time-consuming and labor-intensive, but also difficult to achieve real-time monitoring, resulting in a lag in disease management. Secondly, the uneven distribution of medical resources makes it difficult for some patients to obtain timely and professional chronic disease management services. In addition, patients themselves have limited knowledge and ability in chronic disease management, lack personalized management plans and guidance, and it is difficult to effectively control the progression of the disease.
[0004] With the rapid development of big data technology, its application in the field of medical health is becoming more and more extensive, providing new ideas for solving the problem of chronic disease management. Big data analysis can integrate massive, multi-source medical data, and provide a scientific basis for the prediction, diagnosis, treatment and management of chronic diseases by mining the correlation and rules between data. However, most of the existing chronic disease management systems based on big data remain at the level of data collection and simple analysis, lacking deep mining and intelligent decision-making capabilities, and are difficult to meet the complex needs of chronic disease management. Summary of the invention
[0005] The purpose of the present invention is to overcome the shortcomings of the prior art and provide a chronic disease management system based on big data, including a cloud data server, a user data collection device, a data storage module, a chronic disease center module, a chronic disease assessment management module, a data processing module and a communication module;
[0006] The user data collection device, data storage module, chronic disease data management module, chronic disease assessment management module, and communication module are respectively connected to the data processing module; the cloud data server is in communication connection with the communication module;
[0007] The user data collection device is used to collect user management information, the user management information includes user chronic disease information, user identity information, user chronic disease management data and user chronic disease management type, the user chronic disease management type includes specific chronic disease management and mixed chronic disease management; the user chronic disease management data includes data of monitoring parameters set within the collection period and the range of data changes;
[0008] The cloud data server includes a chronic disease management mode generation module, a chronic disease database and a user chronic disease management container generation module;
[0009] The user chronic disease management container generation module is used to generate a user chronic disease management container, and the user chronic disease management container is used to obtain user chronic disease management evaluation data;
[0010] The chronic disease management mode generation module is used to obtain a chronic disease management mode according to the user's chronic disease management type;
[0011] The chronic disease database is used to store chronic disease related information, and the chronic disease related information includes chronic disease characteristics and chronic disease management evaluation strategies;
[0012] The chronic disease central module generates a chronic disease management evaluation result based on the user's chronic disease management evaluation data.
[0013] The chronic disease management method based on big data is applied to the chronic disease management system based on big data, and comprises the following steps:
[0014] Step 1: Obtain the user's chronic disease information, and obtain the user's chronic disease management information and the chronic disease management data corresponding to the user's chronic disease according to the user's chronic disease information and the user's chronic disease management type;
[0015] Step 2: The cloud data server obtains the chronic disease management mode according to the chronic disease management type information of the user. If it is a specific chronic disease management mode, it proceeds to step 3; if it is a mixed chronic disease management mode, it proceeds to step 4;
[0016] Step 3: The cloud data server generates a user chronic disease management container according to the user chronic disease information in the user chronic disease management type information, obtains chronic disease characteristic data of the corresponding chronic disease in the chronic disease database, sends the user's chronic disease management data and the chronic disease characteristic data of the corresponding chronic disease to the user chronic disease management container to generate user chronic disease management evaluation data, and sends it to the chronic disease management evaluation central module, and then proceeds to step 6;
[0017] Step 4: The cloud data server generates a user chronic disease management container according to the user information, and generates chronic disease management containers corresponding to the user chronic disease types according to the user chronic disease type information in the user chronic disease management type information, connects each chronic disease management container corresponding to the user chronic disease type to the user health risk management container, obtains chronic disease characteristic data corresponding to each user chronic disease type in the chronic disease database, sends the chronic disease management data corresponding to the user chronic disease and the chronic disease characteristic data corresponding to the user chronic disease type to the chronic disease management container corresponding to the user chronic disease type, and the chronic disease management container corresponding to the user chronic disease type obtains the user chronic disease management evaluation data corresponding to the user chronic disease type;
[0018] Step 5: The user chronic disease management container generates user chronic disease management evaluation data according to the user chronic disease management evaluation data of each corresponding user chronic disease type, and sends it to the chronic disease central module, and then proceeds to step 6;
[0019] Step six: The chronic disease center module generates chronic disease management evaluation results based on the user's chronic disease management evaluation data and completes chronic disease management.
[0020] Furthermore, obtaining the user's chronic disease management information according to the user's chronic disease information and the user's chronic disease management type includes:
[0021] According to the chronic disease information in the user's chronic disease management type, the user's chronic disease management data corresponding to the chronic disease is obtained from the user's chronic disease information; the chronic disease information and the user's chronic disease management data corresponding to the chronic disease constitute the user's chronic disease management information.
[0022] Furthermore, the cloud data server obtains the chronic disease management mode according to the user's chronic disease management type information, including:
[0023] If the household chronic disease management information only includes a single chronic disease, it is a specific chronic disease management model, otherwise it is a mixed chronic disease management model.
[0024] Furthermore, the sending of the user's chronic disease management data and the chronic disease characteristic data of the corresponding chronic disease to the user's chronic disease management container to generate the user's chronic disease management evaluation data includes:
[0025] The user chronic disease management container obtains the user's chronic disease feature data based on the user's chronic disease management data, and obtains the data deviation based on the difference between the user's chronic disease features and the chronic disease feature data of the corresponding chronic disease. The data deviation is the user's chronic disease management evaluation data.
[0026] Furthermore, the user chronic disease management container generates user chronic disease management evaluation data according to the user chronic disease management evaluation data corresponding to each type of user chronic disease, including:
[0027] The user chronic disease management evaluation data is obtained according to the sum of the data deviation of the user chronic disease management evaluation data corresponding to each user chronic disease type and the product of the evaluation weight of the corresponding user chronic disease type.
[0028] Furthermore, the chronic disease central module generates a chronic disease management evaluation result according to the user's chronic disease management evaluation data, including:
[0029] Based on the obtained user chronic disease management assessment data, if the user chronic disease management assessment data is within the set risk assessment threshold range, the user's chronic disease management is assessed as qualified, otherwise it is assessed as unqualified.
[0030] The beneficial effects of the present invention are: high management efficiency: by collecting user data in real time and conducting analysis and evaluation, the system can promptly detect changes in the condition and management problems, and provide users with timely and effective management suggestions. This greatly shortens the feedback cycle under the traditional management model and improves management efficiency.
[0031] Personalized management: The system generates personalized management plans and evaluation results based on the user's chronic disease type, condition and management needs. This personalized management method is more in line with the user's actual situation and helps improve management results and user satisfaction.
[0032] Optimize resource allocation: Through big data analysis, the system can accurately identify user needs and priorities, thereby achieving a reasonable allocation of medical resources. This helps alleviate the problem of tight medical resources and improve the accessibility and quality of medical services.
[0033] Promote health management awareness: The system enhances users’ awareness and attention to chronic disease management through regular management evaluation and feedback. This helps to cultivate users’ health management awareness and promote the formation and maintenance of healthy behaviors. BRIEF DESCRIPTION OF THE DRAWINGS
[0034] Figure 1 This is a schematic diagram of the principle of a chronic disease management system based on big data;
[0035] Figure 2 This is a schematic diagram of the cloud data server principle;
[0036] Figure 3 This is a flowchart of the chronic disease management method based on big data. DETAILED DESCRIPTION
[0037] The technical solution of the present invention is further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following.
[0038] The features and performance of the present invention are further described in detail below in conjunction with the embodiments.
[0039] like Figure 1 As shown, the chronic disease management system based on big data is characterized by including a cloud data server, a user data acquisition device, a data storage module, a chronic disease center module, a chronic disease assessment management module, a data processing module and a communication module;
[0040] The user data collection device, data storage module, chronic disease data management module, chronic disease assessment management module, and communication module are respectively connected to the data processing module; the cloud data server is in communication connection with the communication module;
[0041] The user data collection device is used to collect user management information, the user management information includes user chronic disease information, user identity information, user chronic disease management data and user chronic disease management type, the user chronic disease management type includes specific chronic disease management and mixed chronic disease management; the user chronic disease management data includes data of monitoring parameters set within the collection period and the range of data changes;
[0042] like Figure 2 As shown, the cloud data server includes a chronic disease management mode generation module, a chronic disease database, and a user chronic disease management container generation module;
[0043] The user chronic disease management container generation module is used to generate a user chronic disease management container, and the user chronic disease management container is used to obtain user chronic disease management evaluation data;
[0044] The chronic disease management mode generation module is used to obtain a chronic disease management mode according to the user's chronic disease management type;
[0045] The chronic disease database is used to store chronic disease related information, and the chronic disease related information includes chronic disease characteristics and chronic disease management evaluation strategies;
[0046] The chronic disease central module generates a chronic disease management evaluation result based on the user's chronic disease management evaluation data.
[0047] like Figure 3 As shown, the chronic disease management method based on big data is applied to the chronic disease management system based on big data, and includes the following steps:
[0048] Step 1: Obtain the user's chronic disease information, and obtain the user's chronic disease management information and the chronic disease management data corresponding to the user's chronic disease according to the user's chronic disease information and the user's chronic disease management type;
[0049] Step 2: The cloud data server obtains the chronic disease management mode according to the chronic disease management type information of the user. If it is a specific chronic disease management mode, it proceeds to step 3; if it is a mixed chronic disease management mode, it proceeds to step 4;
[0050] Step 3: The cloud data server generates a user chronic disease management container according to the user chronic disease information in the user chronic disease management type information, obtains chronic disease characteristic data of the corresponding chronic disease in the chronic disease database, sends the user's chronic disease management data and the chronic disease characteristic data of the corresponding chronic disease to the user chronic disease management container to generate user chronic disease management evaluation data, and sends it to the chronic disease management evaluation central module, and then proceeds to step 6;
[0051] Step 4: The cloud data server generates a user chronic disease management container according to the user information, and generates chronic disease management containers corresponding to the user chronic disease types according to the user chronic disease type information in the user chronic disease management type information, connects each chronic disease management container corresponding to the user chronic disease type to the user health risk management container, obtains chronic disease characteristic data corresponding to each user chronic disease type in the chronic disease database, sends the chronic disease management data corresponding to the user chronic disease and the chronic disease characteristic data corresponding to the user chronic disease type to the chronic disease management container corresponding to the user chronic disease type, and the chronic disease management container corresponding to the user chronic disease type obtains the user chronic disease management evaluation data corresponding to the user chronic disease type;
[0052] Step 5: The user chronic disease management container generates user chronic disease management evaluation data according to the user chronic disease management evaluation data of each corresponding user chronic disease type, and sends it to the chronic disease central module, and then proceeds to step 6;
[0053] Step six: The chronic disease center module generates chronic disease management evaluation results based on the user's chronic disease management evaluation data and completes chronic disease management.
[0054] The obtaining of user chronic disease management information according to user chronic disease information and user chronic disease management type includes:
[0055] According to the chronic disease information in the user's chronic disease management type, the user's chronic disease management data corresponding to the chronic disease is obtained from the user's chronic disease information; the chronic disease information and the user's chronic disease management data corresponding to the chronic disease constitute the user's chronic disease management information.
[0056] The cloud data server obtains the chronic disease management mode according to the user's chronic disease management type information, including:
[0057] If the household chronic disease management information only includes a single chronic disease, it is a specific chronic disease management model, otherwise it is a mixed chronic disease management model.
[0058] The sending of the user's chronic disease management data and the chronic disease characteristic data of the corresponding chronic disease to the user's chronic disease management container to generate the user's chronic disease management evaluation data includes:
[0059] The user chronic disease management container obtains the user's chronic disease feature data based on the user's chronic disease management data, and obtains the data deviation based on the difference between the user's chronic disease features and the chronic disease feature data of the corresponding chronic disease. The data deviation is the user's chronic disease management evaluation data.
[0060] The user chronic disease management container generates user chronic disease management evaluation data according to the user chronic disease management evaluation data corresponding to each type of user chronic disease, including:
[0061] The user chronic disease management evaluation data is obtained according to the sum of the data deviation of the user chronic disease management evaluation data corresponding to each user chronic disease type and the product of the evaluation weight of the corresponding user chronic disease type.
[0062] The chronic disease central module generates chronic disease management evaluation results according to the user's chronic disease management evaluation data, including:
[0063] Based on the obtained user chronic disease management assessment data, if the user chronic disease management assessment data is within the set risk assessment threshold range, the user's chronic disease management is assessed as qualified, otherwise it is assessed as unqualified.
[0064] Specifically, the present invention provides a chronic disease management system based on big data, characterized by comprising a cloud data server, a user data collection device, a data storage module, a chronic disease center module, a chronic disease assessment management module, a data processing module and a communication module. These modules cooperate with each other to form an efficient and intelligent chronic disease management system.
[0065] The user data collection device is used to collect user management information, which is the basis for chronic disease management. User management information includes but is not limited to user chronic disease information (such as disease type, diagnosis time, treatment status, etc.), user identity information (such as age, gender, occupation, etc.), user chronic disease management data (such as monitoring data of physiological parameters such as blood pressure, blood sugar, heart rate, etc.) and user chronic disease management type (specific chronic disease management or mixed chronic disease management). By comprehensively collecting user information, detailed data support is provided for subsequent chronic disease management.
[0066] The data storage module is responsible for storing the collected user data to ensure the integrity and security of the data. The chronic disease data management module organizes, classifies and preliminarily analyzes the data to facilitate subsequent chronic disease management.
[0067] The communication module serves as a bridge for the system to interact with the outside world. It is responsible for transmitting the data collected by the user data collection device to the cloud data server and receiving the management evaluation results and suggestions returned by the cloud data server.
[0068] The cloud data server is the core part of the system, including the chronic disease management model generation module, the chronic disease database and the user chronic disease management container generation module. The chronic disease management model generation module intelligently selects a specific management model based on the user's chronic disease management type to meet the needs of different users. The chronic disease database stores a large amount of chronic disease-related information, including chronic disease characteristics, management evaluation strategies, etc., to provide knowledge support for chronic disease management. The user chronic disease management container generation module generates a personalized chronic disease management container based on user information, which is used to generate user chronic disease management evaluation data.
[0069] The chronic disease center module is the decision-making center of the system. It generates chronic disease management evaluation results based on the user's chronic disease management evaluation data. These results not only reflect the user's current chronic disease management status, but also provide a basis for subsequent management recommendations and intervention measures.
[0070] Based on the above system, the present invention also provides a chronic disease management method based on big data, and the specific steps are as follows:
[0071] Step 1: The system first obtains the user's chronic disease information, and combines the user's chronic disease management type to obtain the user's chronic disease management information and the chronic disease management data corresponding to the user's chronic disease. This step is the basis for subsequent management, ensuring that the system can accurately understand the user's condition and management needs.
[0072] Step 2: The cloud data server intelligently selects a chronic disease management mode based on the user's chronic disease management type information. If the user only suffers from a single chronic disease, a specific chronic disease management mode is selected; if the user suffers from multiple chronic diseases, a mixed chronic disease management mode is selected. This step reflects the flexibility and personalization of the system.
[0073] From step 3 to step 5, the system performs different processing for the specific chronic disease management mode and the mixed chronic disease management mode. In the specific chronic disease management mode, the system generates a user chronic disease management container, and combines the characteristic data in the chronic disease database to generate user chronic disease management evaluation data. In the mixed chronic disease management mode, the system generates a corresponding management container for each chronic disease, and integrates the evaluation data of each container to obtain comprehensive user chronic disease management evaluation data. These evaluation data reflect the actual condition of the user's condition and the management effect.
[0074] Step 6: The chronic disease center module generates chronic disease management evaluation results based on the user's chronic disease management evaluation data. If the evaluation data shows that the user's chronic disease management is qualified, the current management plan will continue; if the evaluation is unqualified, the management plan will be adjusted according to the evaluation results, and personalized management suggestions and intervention measures will be provided. This step reflects the system's intelligent decision-making and continuous optimization capabilities.
[0075] Example 1: Management of specific chronic diseases (hypertension)
[0076] background:
[0077] Mr. Zhang, 45 years old, male, a programmer, was diagnosed with hypertension and had no history of other chronic diseases. He hoped to achieve effective management of his hypertension through the chronic disease management system based on big data provided by the present invention.
[0078] Implementation steps:
[0079] Data collection: The user data collection device collects Mr. Zhang's blood pressure data in real time through smart bracelets and other devices, and records his age, gender, occupation and other identity information. The system obtains Mr. Zhang's hypertension diagnosis information, treatment history and other chronic disease information. It is determined that Mr. Zhang's chronic disease management type is specific chronic disease management (hypertension).
[0080] Data storage and storage: The communication module transmits the collected data to the cloud data server. The data storage module is responsible for storing this data to ensure the integrity and security of the data.
[0081] Selection of chronic disease management model: The chronic disease management model generation module of the cloud data server recognizes that Mr. Zhang only suffers from hypertension, so a specific chronic disease management model is selected.
[0082] Management container generation and evaluation data generation: The user chronic disease management container generation module generates a hypertension management container for Mr. Zhang. The system obtains the characteristic data of hypertension (such as normal blood pressure range, dangerous blood pressure threshold, etc.) from the chronic disease database. Mr. Zhang's blood pressure data is compared with the hypertension characteristic data to generate user chronic disease management evaluation data, including indicators such as blood pressure deviation and blood pressure control stability.
[0083] Management evaluation and result generation: The chronic disease center module generates chronic disease management evaluation results based on the evaluation data provided by the hypertension management container. The evaluation results show that Mr. Zhang's blood pressure control is basically stable, but occasionally it is high, so he needs to adjust his eating habits and increase his exercise.
[0084] Example 2: Management of mixed chronic diseases (diabetes + hypertension)
[0085] background:
[0086] Ms. Li, 60 years old, a retired teacher, suffers from both diabetes and hypertension. She hopes to achieve comprehensive management of these two conditions through the chronic disease management system based on big data provided by the present invention.
[0087] Implementation steps:
[0088] Data collection: The user data collection device collects Ms. Li's blood sugar and blood pressure data in real time through the smart blood glucose meter and blood pressure meter. The system obtains Ms. Li's chronic disease information such as diabetes and hypertension diagnosis information, treatment history, etc. It is determined that Ms. Li's chronic disease management type is mixed chronic disease management (diabetes + hypertension).
[0089] Data storage and storage: The communication module transmits the collected data to the cloud data server. The data storage module is responsible for storing this data to ensure the integrity and security of the data.
[0090] Selection of chronic disease management model: The chronic disease management model generation module of the cloud data server recognizes that Ms. Li suffers from multiple chronic diseases, so it selects a mixed chronic disease management model.
[0091] Management container generation and evaluation data generation: The user chronic disease management container generation module generates a diabetes management container and a hypertension management container for Ms. Li. The system obtains the characteristic data of diabetes and hypertension from the chronic disease database. Ms. Li's blood sugar and blood pressure data are compared with the corresponding characteristic data to generate user chronic disease management evaluation data for the two chronic diseases. The system integrates the evaluation data of diabetes and hypertension to obtain comprehensive user chronic disease management evaluation data.
[0092] The above is only a preferred embodiment of the present invention. It should be understood that the present invention is not limited to the form disclosed herein, and should not be regarded as excluding other embodiments, but can be used in various other combinations, modifications and environments, and can be modified within the scope of the concept described herein through the above teachings or the technology or knowledge of the relevant field. The changes and modifications made by those skilled in the art shall not deviate from the spirit and scope of the present invention, and shall be within the scope of protection of the claims attached to the present invention.
Claims
1. Chronic disease management system based on big data, characterized by: It includes a cloud data server, a user data collection device, a data storage module, a chronic disease center module, a chronic disease assessment and management module, a data processing module and a communication module; The user data collection device, data storage module, chronic disease data management module, chronic disease assessment management module, and communication module are respectively connected to the data processing module; the cloud data server is in communication connection with the communication module; The user data collection device is used to collect user management information, the user management information includes user chronic disease information, user identity information, user chronic disease management data and user chronic disease management type, the user chronic disease management type includes specific chronic disease management and mixed chronic disease management; the user chronic disease management data includes data of monitoring parameters set within the collection period and the range of data changes; The cloud data server includes a chronic disease management mode generation module, a chronic disease database and a user chronic disease management container generation module; The user chronic disease management container generation module is used to generate a user chronic disease management container, and the user chronic disease management container is used to obtain user chronic disease management evaluation data; The chronic disease management mode generation module is used to obtain a chronic disease management mode according to the user's chronic disease management type; The chronic disease database is used to store chronic disease related information, and the chronic disease related information includes chronic disease characteristics and chronic disease management evaluation strategies; The chronic disease central module generates a chronic disease management evaluation result based on the user's chronic disease management evaluation data.
2. A chronic disease management method based on big data, characterized in that: The big data-based chronic disease management system as applied to claim 1 comprises the following steps: Step 1: Obtain the user's chronic disease information, and obtain the user's chronic disease management information and the chronic disease management data corresponding to the user's chronic disease according to the user's chronic disease information and the user's chronic disease management type; Step 2: The cloud data server obtains the chronic disease management mode according to the chronic disease management type information of the user. If it is a specific chronic disease management mode, it proceeds to step 3; if it is a mixed chronic disease management mode, it proceeds to step 4; Step 3: The cloud data server generates a user chronic disease management container according to the user chronic disease information in the user chronic disease management type information, obtains chronic disease characteristic data of the corresponding chronic disease in the chronic disease database, sends the user's chronic disease management data and the chronic disease characteristic data of the corresponding chronic disease to the user chronic disease management container to generate user chronic disease management evaluation data, and sends it to the chronic disease management evaluation central module, and then proceeds to step 6; Step 4: The cloud data server generates a user chronic disease management container according to the user information, and generates chronic disease management containers corresponding to the user chronic disease types according to the user chronic disease type information in the user chronic disease management type information, connects each chronic disease management container corresponding to the user chronic disease type to the user health risk management container, obtains chronic disease characteristic data corresponding to each user chronic disease type in the chronic disease database, sends the chronic disease management data corresponding to the user chronic disease and the chronic disease characteristic data corresponding to the user chronic disease type to the chronic disease management container corresponding to the user chronic disease type, and the chronic disease management container corresponding to the user chronic disease type obtains the user chronic disease management evaluation data corresponding to the user chronic disease type; Step 5: The user chronic disease management container generates user chronic disease management evaluation data according to the user chronic disease management evaluation data corresponding to each type of user chronic disease, and sends it to the chronic disease central module, and then proceeds to step 6; Step six: The chronic disease center module generates chronic disease management evaluation results based on the user's chronic disease management evaluation data and completes chronic disease management.
3. The chronic disease management method based on big data according to claim 2 is characterized in that: The obtaining of user chronic disease management information according to user chronic disease information and user chronic disease management type includes: According to the chronic disease information in the user's chronic disease management type, the user's chronic disease management data corresponding to the chronic disease is obtained from the user's chronic disease information; the chronic disease information and the user's chronic disease management data corresponding to the chronic disease constitute the user's chronic disease management information.
4. The chronic disease management method based on big data according to claim 3 is characterized in that: The cloud data server obtains the chronic disease management mode according to the user's chronic disease management type information, including: If the household chronic disease management information only includes a single chronic disease, it is a specific chronic disease management model, otherwise it is a mixed chronic disease management model.
5. The chronic disease management method based on big data according to claim 4 is characterized in that: The sending of the user's chronic disease management data and the chronic disease characteristic data of the corresponding chronic disease to the user's chronic disease management container to generate the user's chronic disease management evaluation data includes: The user chronic disease management container obtains the user's chronic disease feature data based on the user's chronic disease management data, and obtains the data deviation based on the difference between the user's chronic disease features and the chronic disease feature data of the corresponding chronic disease. The data deviation is the user's chronic disease management evaluation data.
6. The method for chronic disease management based on big data according to claim 4, characterized in that: The user chronic disease management container generates user chronic disease management evaluation data according to the user chronic disease management evaluation data corresponding to each type of user chronic disease, including: The user chronic disease management evaluation data is obtained according to the sum of the data deviation of the user chronic disease management evaluation data corresponding to each user chronic disease type and the product of the evaluation weight of the corresponding user chronic disease type.
7. The chronic disease management method based on big data according to claim 5 or 6, characterized in that: The chronic disease central module generates chronic disease management evaluation results according to the user's chronic disease management evaluation data, including: Based on the obtained user chronic disease management assessment data, if the user chronic disease management assessment data is within the set risk assessment threshold range, the user's chronic disease management is assessed as qualified, otherwise it is assessed as unqualified.