{"title":"Multi-SVM based differential diagnostics in TCM","authors":"Jian-jun Yan, Yiqin Wang, Zhaoxia Xu, Guoping Liu, F. L, Rui Guo, Yong Shen, Chunming Xia","doi":"10.1109/ITIME.2009.5236452","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":398477,"journal":{"name":"2009 IEEE International Symposium on IT in Medicine & Education","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Symposium on IT in Medicine & Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITIME.2009.5236452","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
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.