Construction method of traditional Chinese medicine clinical decision support system based on case reasoning

Abstract

The invention provides a construction method of a traditional Chinese medicine clinical decision support system based on case reasoning, the method comprises the following steps: case representation: taking existing traditional Chinese medicine clinical experience as a basic case in a traditional Chinese medicine clinical data warehouse, extracting symptoms, diagnosis and medicines in diagnosis and treatment experience as attributes of the case, and case retrieval: defining a proper similarity algorithm, searching similar cases in the case library according to a similarity algorithm, and correcting the cases: comparing the searched similar cases with a new problem, and if the problem of the case is consistent with the description of the new problem, directly using the solution of the case to solve the new problem without modifying the solution of the case; if the problem description of the case is inconsistent with the description of the new problem, using proper modification to adapt to the new problem; and case learning and maintenance: combining a solution obtained after case correction and the new problem solved by the solution, and adding the combined solution and the new problem into a case library. The invention provides the construction method of the traditional Chinese medicine clinical decision support system based on case reasoning, which is easy to draw a conclusion.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to a construction method of a TCM clinical decision support system based on case reasoning. Background technique [0002] At present, the main implementation methods of the clinical decision support system of traditional Chinese medicine are as follows: (1) The method based on rule reasoning (the mainstream in the market), which is mainly based on the IF_THEN rule. The system based on this method is mostly composed of three parts---knowledge base, reasoning engine and communication mechanism. The knowledge base stores the compiled rules of relevant medical data; the reasoning engine combines patient information with the rules in the knowledge base; the communication mechanism provides users with a good interactive interface for users to input information and view the feedback results of the system. The advantage of rule-based is high efficiency. The storage space is relatively sm...

AI Technical Summary

Problems solved by technology

The storage space is relatively small and the knowledge base is easy to construct; the disadvantages are complex reasoning, difficulty in knowledge acquisition, difficulty in expressing rules, knowledge bottlenecks, and difficulty in maintenance

Images