Sleep disorder traditional Chinese medicine diagnosis and treatment method based on self-adaptive fuzzy neural network

Abstract

The invention relates to a sleep disorder traditional Chinese medicine diagnosis and treatment method based on a self-adaptive fuzzy neural network. The sleep disorder traditional Chinese medicine diagnosis and treatment method based on the self-adaptive fuzzy neural network is characterized by comprising the following steps of 1, classifying clinical symptoms of sleep disorder according to four traditional Chinese medicine diagnosis methods of looking, listening, asking and pulse feeling, and performing syndrome classification on the sleep disorder; 2, recommending different prescriptions fordifferent syndromes according to a traditional Chinese medicine treatment principle; 3, building a traditional Chinese medicine sleep disorder diagnosis model in the self-adaptive fuzzy neural network; 4, building a sleep disorder traditional Chinese medicine diagnosis and treatment mathematical model; and 5, inputting the sleep disorder symptoms into the traditional Chinese medicine diagnosis and treatment mathematical model in a number mode, and further outputting a prescription diagnosis and treatment result. The sleep disorder traditional Chinese medicine diagnosis and treatment method has the advantages that the goal can be completely achieved in sleep disorder traditional Chinese medicine diagnosis; and in addition, the functions are stronger and more effective than those of other diagnosis models.

Description

technical field [0001] The invention relates to a TCM diagnosis and treatment method for sleep disorders based on an adaptive fuzzy neural network. Background technique [0002] With the development of human civilization today, the problem of sleep is an important and common problem faced by people all over the world. Nowadays, artificial intelligence has gradually entered the medical field. In the diagnosis of diseases in traditional Chinese medicine, the following two intelligent diagnosis methods are currently commonly used: [0003] 1). Artificial neural network diagnosis method: ANN has strong self-learning and associative functions, and it can use expert knowledge well, but it cannot process and describe fuzzy information, and cannot use existing knowledge and experience to explain the reasoning process and reasoning process of disease diagnosis. reasoning results. [0004] 2). Based on the expert system: the system can handle both definite symptoms and uncertain fuz...

AI Technical Summary

Problems solved by technology

At present, there is no use of ANFIS in the diagnosis and treatment of sleep disorders in traditional Chinese medicine in the diagnosis and treatment of sleep disorders by adaptive fuzzy neural network.

Images