A system based on TCM syndrome differentiation artificial neural network algorithm model

Abstract

The invention discloses a system based on a TCM syndrome differentiation artificial neural network algorithm model, which can enhance the syndrome differentiation classification capability of different dominant diseases, improve the efficiency and accuracy of TCM syndrome differentiation diagnosis and treatment, can expand the scope of treated diseases of TCM doctors, improve the diagnosis and treatment capability of incurable diseases, and shorten the clinical experience accumulation time of young TCM doctors. The system includes a symptom input layer module for receiving the input patient disease data; a first hidden layer module for performing quantization coding of the input disease data; a second hidden layer module for performing correlation function calculation according to the quantization coding of the disease data to obtain the corresponding disease cause, disease location, disease nature and disease characteristic classification; and a syndrome-type output layer module for outputting the result data of the symptom and the corresponding syndrome type when the coincidence of the disease cause, disease location, disease nature and disease characteristic of the disease and the nature and flavor characteristic of the medicinal material is higher than the preset threshold.

Description

technical field [0001] The invention relates to the technical field of digitalization of TCM syndrome differentiation, in particular to a system based on TCM syndrome differentiation artificial neural network algorithm model. Background technique [0002] "Syndrome differentiation and treatment" is the basic principle of Chinese medicine to understand and treat diseases, and it is a special research and treatment method for diseases in Chinese medicine, including two processes of syndrome differentiation and treatment. "Syndrome differentiation" is to analyze and synthesize the data, symptoms and signs collected by the four diagnostic methods (inspection, auscultation, interrogation, and palpation) to identify the cause, nature, location, and relationship between evil and good. , generalized and judged as a syndrome of a certain nature, reflecting the nature of pathological changes at a certain stage in the development of the disease, is the core technology of TCM clinical d...

AI Technical Summary

Problems solved by technology

Although a large number of documents and databases have been established, the complex schools of traditional Chinese medicine itself, the non-standardization of four diagnostic information, the means of treating the same disease with different methods, and the information processing rules of fuzzy data structure characteristics have not been fully revealed. Among them, most of them imitate the dialectical process of famous Chinese medicine for simple logical reasoning and knowledge base association, which is not enough for clinical and efficient application requirements

On the one hand, although the accuracy of the 46-bit quantization code and knowledge base-based recommendation algorithm used by the applicant team in the past has reached 80%, it still needs further improvement and optimization

On the other hand, one-way algorithms are limited to literature samples and computing units, and in some cases, their ability to express complex functions is limited, and their generalization ability for complex classification problems is limited to a certain extent.

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