Automatic Differentiation System for Posthepatitic Cirrhosis in Traditional Chinese Medicine

摘要：

There is growing evidence that traditional Chinese medicine (TCM) plays an important role in the diagnosis and therapy of diseases. However, it is difficult to be analyzed and understood by modern science, which seriously block its development. So there is an urgent need to explore an automatic diagnosis system of traditional Chinese medicine. This paper analyzes the proper of traditional Chinese medicine data and some applications of modern technologies for traditional Chinese medicine. This paper incorporates Rough Sets theory and artificial neural networks into the framework of TCM and designs an automatic differentiation system for TCM, named ASDSTCM. Experiments on posthepatitic cirrhosis TCM dataset indicate its effectiveness and robustness.

关键词： Syndrome differentiation Traditional Chinese medicine Rough sets theory Neural network

作者: Na Chu Lizhuang Ma Ping Liu

作者单位: Department of Computer Science and Engineering Shanghai Jiaotong University Shanghai 200240,China Institute of Liver Diseases Shanghai University of T.C.M.Shanghai,China

会议类型: 国际会议

会议名称: 2010 IEEE信息与自动化国际会议(ICIA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1-6

在线出版日期: 2010-06-20（万方平台首次上网日期，不代表论文的发表时间）