Multi-SVM based differential diagnostics in TCM

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 diag...

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Bibliographic Details
Published in2009 IEEE International Symposium on IT in Medicine & Education Vol. 1; pp. 111 - 114
Main Authors Yan, Jian-jun, Wang, Yi-qin, Xu, Zhao-xia, Liu, Guo-ping, Li, Fu-feng, Guo, Rui, Shen, Yong, Xia, Chun-ming
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2009
Subjects
Artificial neural networks
Biomedical imaging
Clinical diagnosis
Diseases
Kernel
Mechatronics
Medical diagnostic imaging
Neural networks
Support vector machine classification
Support vector machines
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Summary: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.
ISBN:1424439280
9781424439287
DOI:10.1109/ITIME.2009.5236452