TCM Syndrome Differentiation Based on Artificial Bee Colony Optimization BP Neural Network Algorithm

Abstract

Dialectics is one of the key points of TCM diagnosis. It takes the clinical symptoms of traditional Chinese medicine through dialectical diagnosis and treatment to obtain the patient's pathological syndrome. However, this unique method of diagnosis and treatment of Chinese medicine is difficult to quantify and express, not only because of the personal subjective experience of Chinese doctors in diagnosis and treatment, but also because of the various languages and dialectical principles of Chinese medicine that are difficult to describe in detail. The development of modern information technology has made possible the intelligent of TCM syndrome differentiation. The method of optimizing BP neural network based on artificial bee colony algorithm can find the mapping relationship between TCM symptoms and TCM syndrome types, and then realize the information of TCM syndrome differentiation auxiliary diagnosis and treatment. The intelligent auxiliary diagnosis and treatment system of Chinese medicine can realize the diagnosis and treatment of syndromes from symptoms to syndrome types, and provide reference and convenience for Chinese doctors to see a doctor.