Study on application of Bayesian network in Chinese medicine diagnose

Data mining technology is an important method to analyze the medical cases.It is important to choose the appropriate indices to make the Chinese medicine more scientific and to improve the diagnosis level by supervising the quality more effectively.This paper brings forward a new medical indices reduction method- the Bayesian network based on clustering to solve this problem.This paper studies TCM syndrome type and dynamic evolution by classifying the data to pick-up the main characters and species characters.It provides the important evidence to RA pathogens and sickness mechanism research,and it also plays an important role in supervising diagnosis quality of the clinician.