Agent-based construction method and device of intuitionistic fuzzy theory medical diagnosis model

Abstract

The invention discloses an agent-based construction method and device of an intuitionistic fuzzy theory medical diagnosis model. With the adoption of a sensor technique and an artificial intelligence technology, remote and automatic acquisition and transmission of patient symptom are achieved; diagnosis analysis is carried out on the patient symptom by an intelligent medical diagnosis model built based on an intuitionistic fuzzy theory; the patient symptom is continuously updated and completed by a systematic knowledge module, namely a symptom-disease knowledge base and a disease-medicine knowledge base, and the diagnosis effect of the system is improved and enhanced; and on the condition that the existing medical staff, resources and technology are limited and the ageing population of China is faster, agent-based intelligent medical diagnosis system (AIMD) design is changed to ATM in a substantialization way and is installed in an aged community, convenient and high-efficiency medical services are provided for a patient through self-service terminal services, and the medical stress is effectively relieved. By the medical service mode, the medical clinic time is saved, and the medical cost is also reduced.

Description

【Technical field】 [0001] The invention belongs to the technical field of medical devices and relates to a diagnosis system, in particular to a method and device for constructing an agent-based intuitionistic fuzzy theory medical diagnosis model. 【Background technique】 [0002] China's aging population continues to increase, and the decline in the physical functions of the elderly leads to frequent disease outbreaks. The unfavorable factors in the current medical model increase the difficulty of seeing a doctor for diseases in the elderly. Overall, the current medical treatment model has many drawbacks and is also facing huge challenges: (1) Limited medical personnel, medical resources and technology are difficult to meet the growing medical needs. The lag of disease diagnosis, the unreasonable allocation of medical resources, and the lack of timely and effective treatment seriously affect the quality of diagnosis services for patients, and even aggravate the condition of pat...

AI Technical Summary

Problems solved by technology

[0002] The aging population in China continues to increase, and the decline in the physical functions of the elderly leads to frequent disease outbreaks. The unfavorable factors in the current medical model increase the difficulty of seeing a doctor for diseases in the elderly

Overall, the current medical treatment model has many disadvantages and is also facing huge challenges: (1) limited medical personnel, medical resources and technology are difficult to meet the growing medical needs

The lag of disease diagnosis, the unreasonable allocation of medical resources, and the lack of timely and effective treatment seriously affect the quality of diagnostic services for patients, and even aggravate the condition of patients.

Differences in medical knowledge, clinical experience, and medical knowledge of medical staff make it difficult to evaluate the accuracy of disease diagnosis and the rationality of disease medication (2) High intensity, overloaded work and reduced personal factors (such as personality, temper) of medical staff The correct rate of disease diagnosis

In the limited medical service time, the patient base is large, the time for patients to receive effective medical services is insufficient, and the cure of the disease shows lag and delay

(3) In the process of medical diagnosis and prescription medication, unreasonable and unscientific medical diagnosis services increase the burden of medical treatment for patients

[0004] The above methods and theories have played a significant role in promoting the development of intelligent medical diagnosis, but how to realize the intelligent medical diagnosis method based on sensing technology has not been widely considered and systematically studied.

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