Multi-SVM Based Differential Diagnostics in TCM

摘要：

The differential diagnostics of Traditional Chinese Medicine is the kernel of TCM. The objective study of TCM diagnostics is a research hot spot at present. The differential diagnostics process of TCM is very complex and nonlinear. Support Vector Machine (SVM) is a novel method to establish the diagnosis model of TCM. In this paper, the differential diagnostics model is constructed base on multi-SVM. A comparison is made between gaussian and poly kernel functions in SVM for differential diagnostics. The model based on multi-SVM presented can deal with accompanying syndromes better. The model can provide a new way to solve TCM differential diagnostics.

作者: YAN Jian-jun WANG Yi-qin XU Zhao-xia LIU Guo-ping LI Fu-feng GUO Rui SHEN Yong XIA Chun-ming

作者单位: Center for Mechatronics Engineering, East China University of Science and Technology,Shanghai 200237 TCM Syndrome Lab, Shanghai University of TCM, Shanghai 201203, China Center for Mechatronics Engineering, East China University of Science and Technology, Shanghai 20023

会议类型: 国际会议

会议名称: 2009 IEEE International Symposium on IT in Medicine & Education( IEEE 教育与医药信息化国际会议)

会议地点: 济南

会议语种:英文

页码: 111-114

在线出版日期: 2009-08-14（万方平台首次上网日期，不代表论文的发表时间）