文献类型：期刊文献

英文题名：Classifying syndromes in traditional Chinese medicine based on ISOMAP-SVM

作者：Liu, Tao[1]; Xia, Chun Ming[1]; Wang, Yiqin[2]; Xu, Jin[2]

机构：[1] Center for Mechatronics Engineering, East China University of Science and Technology, Shanghai 200237, China; [2] School of Basic Medicine, Shanghai University of TCM, Shanghai 200032, China

年份：2012

起止页码：464

外文期刊名：2012 5th International Conference on Biomedical Engineering and Informatics, BMEI 2012

收录：EI(收录号：20134416924389)

语种：英文

外文关键词：Pattern recognition - Diagnosis - Diseases - Heart

摘要：Syndrome, an abstract set of signs of human organism, is a unique concept in Traditional Chinese Medicine (TCM) field. The modern TCM objective process of syndromes classification, according to pattern recognition theories, is often affected by factors, such as data incompleteness and diagnostic complexity. Thus the results are not always satisfactory. In this paper, five common syndromes of Coronary Heart Disease (CHD), i.e. deficiency of heart qi, deficiency of heart yang, deficiency of heart yin, phlegm, and blood stasis, are properly classified via the analysis of quantized TCM diagnostic data from 832 CHD patients with common syndromes. Isometric Mapping (ISOMAP) was used for dimension reduction, and Support Vector Machine (SVM) was for classification. Higher syndrome classification rates were obtained via the ISOMAP-SVM method compared to normal SVM and PCA-SVM (SVM classification after PCA) method, and an accuracy of 89.69% was achieved, which indicates the feasibility of the proposed method. ? 2012 IEEE.