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Slow disease full-cycle management monitoring system based on block chain and machine learning algorithm

A machine learning and management system technology, applied in the intelligent application field of chronic diseases, can solve problems such as lack of qualifications and abilities in the diagnosis and treatment of chronic diseases, affect experience promotion, and difficult measures, so as to improve self-processing ability and simplify personnel operations Effect

Pending Publication Date: 2021-02-26
江苏亚寰软件股份有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the existing platforms have problems such as little accumulation of medical data and lack of professional scientific analysis, making it difficult to provide personalized and systematic health management services
In addition, there is no mature payment model for chronic disease management in China, and patients' willingness to pay is low
[0004] At present, the main problems are: the policy supportive environment has not yet been formed, and many chronic disease prevention and control projects in the country are still carried out in units of county-level administrative divisions. Due to the limitation of administrative management authority, many measures are difficult to promote on a large scale; chronic disease management projects Out of touch with routine work. Although relevant policy documents on chronic disease prevention and control and comprehensive prevention and control planning have been issued at the national level, the implementation status of some chronic disease management projects is somewhat disconnected from the plan, and no long-term mechanism has been formed. Combined with daily work; scientific and reasonable project evaluation mechanism has not yet been established. From a macro perspective, reform measures first focus on pilot or demonstration areas, and gradually expand the scope of promotion after achieving certain results. However, due to the lack of effective The evaluation mechanism and promotion methods of the pilot project have greatly affected the promotion of experience, and there is a lack of coordination among different levels of institutions. From the perspective of existing practice, China's chronic disease management is divided among professional public health institutions, comprehensive and specialized medical institutions, and grassroots medical and health institutions. The two-way referral system is not perfect, and it is difficult to standardize the prevention and management of chronic diseases; the human resources for chronic disease prevention and treatment are insufficient, and the number and quality of chronic disease management personnel in China need to be improved
On the one hand, most of the staff in the current disease control system have no clinical background, no qualifications and capabilities in the diagnosis and treatment of chronic diseases, and cannot undertake the work of secondary and tertiary prevention of chronic diseases; on the other hand, those engaged in primary prevention and health management The shortage of personnel is not conducive to the development of chronic disease management in my country

Method used

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  • Slow disease full-cycle management monitoring system based on block chain and machine learning algorithm

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Embodiment

[0022]Such asfigure 1As shown, the embodiment of the present invention provides a chronic disease full-cycle management and monitoring system based on blockchain and machine learning algorithms. The system includes a database management system, an information collection module, and an information receiving terminal data management platform. The information collection module communicates with ZigBee via a wired network. The sensor network transmits data to the information receiving terminal data processing platform, and the database management system interacts with the information receiving terminal data management platform via WLAN.

[0023]The information collection module is used to collect chronic disease big data. The chronic disease big data includes the collection of patient chronic disease full cycle information and chronic disease medical big data monitoring information. The information receiving terminal data processing platform uses blockchain algorithms to encapsulate and co...

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Abstract

The invention provides a slow disease full-cycle management monitoring system based on a block chain and a machine learning algorithm, and relates to the technical field of slow disease intelligent application. The chronic disease full-cycle management monitoring system based on the block chain and the machine learning algorithm comprises a database management system, an information acquisition module and an information receiving terminal data management platform, and the information acquisition module transmits data to the information receiving terminal data processing platform through a wired network and a ZigBee sensor network. The database management system interacts with the information receiving terminal data management platform through the WLAN. According to the invention, the datacontent is converted into a machine-recognizable decision tree or algorithm to form a decision engine, a diagnosis and treatment scheme is intelligently generated according to the disease characteristics of a patient, and then, the situation of the system appearing for the first time is autonomously recorded and analyzed, so that the simple information retrieval and control situation can be autonomously processed conveniently, the personnel operation is simplified, and the system self-processing capability is improved.

Description

Technical field[0001]The invention relates to the technical field of intelligent application of chronic diseases, in particular to a chronic disease full-cycle management and monitoring system based on blockchain and machine learning algorithms.Background technique[0002]Since the beginning of the 21st century, the spectrum of deaths from diseases in my country has changed drastically. Chronic diseases have become the main factor threatening the health of the people. Chronic non-communicable diseases are also called chronic diseases. According to the definition of the World Health Organization, it is a general term for a type of diseases with insidious onset, long course, protracted disease, lack of precise infectiousness, and complicated etiology. Common chronic diseases mainly include hypertension, diabetes, malignant tumors, degenerative diseases, cardiovascular and cerebrovascular diseases, chronic respiratory diseases, and endocrine, kidney, bone, and nerve diseases. With the gr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H10/60G16H50/20G16H50/30G16H50/70
CPCG16H10/60G16H50/20G16H50/30G16H50/70
Inventor 陈亚卢珊周卫红
Owner 江苏亚寰软件股份有限公司
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