Methodology study of classification algorithm in TCM ZHENG diagnosis

摘要

Study of traditional Chinese medicine (TCM) Zheng is a key to the research of TCM modernization, and the core is the classification and diagnostic criteria of Zheng. The purpose of this article is aimed to survey the usage of classification algorithms of data mining in TCM ZHENG researches, and comprehensively analyze the main features of algorithms and their applications, including discriminant analysis, cluster analysis, decision tree, rough set, neural network and Bayesian network. The appropriate classification algorithm should be chosen according to different research purpose. This survey provides a summary on the advance of computational approaches for ZHENG diagnosis in each section and will be useful for future knowledge discovery in this area.