Method and system for assisting in disease diagnosis on basis of intelligent inference

Abstract

The invention provides a method and system for assisting in disease diagnosis on the basis of intelligent inference, and relates to the field of computers. The method comprises the steps that input information of a user is obtained and analyzed, effective information in the input information is stored, the information matching degree of the effective information in a case library and the rule coverage rate of the effective information in a rule library are calculated, weighted summation is conducted on the information matching degree and the rule coverage rate, and an explaining value p of each disease in a disease library for the input information is obtained; diseases corresponding to the explaining values p are sorted according to the explaining values P, the disease of which the explaining value p is larger than or equal to a threshold value E serves as an initial inference conclusion to be returned to the user, inspection result information input by the user is obtained, diagnostic criteria, corresponding to the disease in the initial inference conclusion, in a book knowledge library are displayed to the user by combining the effective information. According to the method and system for assisting in the disease diagnosis on the basis of the intelligent inference, the process and form of an inquiry under the real scenario of clinical diagnosis are simulated, and the diagnosis result can be well explained.

Description

technical field [0001] The invention relates to the field of computers, in particular to a method and system for assisting disease diagnosis based on intelligent reasoning. Background technique [0002] As an auxiliary tool for doctors' diagnosis, the aided disease diagnosis system learns, inherits and develops the valuable theoretical knowledge and rich clinical experience knowledge of medical experts, with the help of information technology and intelligent computing technology, in the process of clinical diagnosis, according to the patient's current disease information According to the system knowledge base and reasoning analysis and calculation mechanism, the disease is analyzed and prompted, and auxiliary support information is provided for the decision-making of the diagnosis and treatment plan. The intelligent auxiliary diagnosis system can help young and inexperienced doctors not miss important information and clues in the decision-making process of clinical diagnosis...

AI Technical Summary

Problems solved by technology

[0003] The intelligent reasoning mechanism of the domestic medical auxiliary diagnosis system adopts the following methods: the first is the reasoning mechanism based on production rules, such as literature (Chen Zaiwang and Chen Jingchang, "Design and Implementation of an Expert System for Medical Auxiliary Diagnosis," Computer System Application , pp.50-51, 2001.) constructed an acute abdominal pain auxiliary diagnosis expert system based on production rules and conflict resolution. The system uses forward reasoning and depth-first search strategy combined with pruning to match the user Input until you find an answer. However, rule-based matching has a big flaw. If the rules are large in magnitude, the matching process will cost a lot. Every maintenance and modification of the rules requires the participation of professionals, which is not enough. flexible

Images