The dialectical diagnosis and treatment are the essence of the Traditional Chinese Medicine (TCM), and is also the basic method of diagnosis and treatment. Syndrome, as a peculiar concept in the TCM academic system, is the main basis of dialectical clinical diagnosis and treatment. However, the clinical syndrome is so complex and elusive that the scientific syndrome identification is very helpful to grasp their mutual inner links and provide conditions and prompt direction for further exploration of the objective law.Bayesian classification is a statistics classification method. Its important application has been found in the reliability analysis. It is mainly of two kinds, Naive Bayesian Classification and Bayesian Belief Network Classification. The application of Bayesian classification in the syndrome identification in TCM to analyze the reliability, matrix and identify syndrome has a promising prospect in studying Chinese medicine and its dialectal diagnosis and treatment.The present paper firstly introduces the origin of Bayes principle, and elaborates on the process of classification decision-making by using the Bayes principle and the development of its application. Then, using the Naive Bayesian Classification(NBC)... |