Machine Learning Drives Intelligent Diagnosis of Traditional Chinese Medicine

Abstract

This article discusses artificial intelligence (artificial intelligence, AI) Machine learning algorithms, especially traditional machine learning and deep learning analysis of TCM four diagnostic information Overview of the applications and limitations of intelligent diagnosis, and combined with multi-source and multi-modal information processing, intelligent disease and syndrome differentiation, etc., the development status of intelligent diagnosis is discussed, For intelligent decision making Provides a basis for auxiliary diagnosis and treatment Based on the applicability of AI in TCM diagnosis, Analyze the current technical difficulties in enabling intelligent diagnosis of traditional Chinese medicine, such as the lack of four diagnostic collection standards and A priori dataset with annotations, There is a lack of research on the co-construction of intelligent diagnosis models by multiple algorithms., And research on the efficacy evaluation of intelligent diagnosis and treatment models, etc., and analyze the solution path in detail, by The aim is to provide development direction for intelligent application of TCM diagnosis.