DocumentCode :
498196
Title :
Application of Support Vector Machine in TCM Diagnosis
Author :
Yan, Jun-Feng ; Zhan, Yan ; Zhu, Wen-Feng
Author_Institution :
Hunan Univ. of Traditional Chinese Med., China
Volume :
1
fYear :
2009
fDate :
19-21 May 2009
Firstpage :
338
Lastpage :
342
Abstract :
The paper expounds the thinking, methodologies and characteristics about the technology of support vector machine which is applied in traditional Chinese medicine (TCM) diagnosis. The research shows that it is feasible to search syndrome factors decision-making model by using support vector machine. Nevertheless, to improve the accuracy level of search, further studies on such closely relevant subjects as specification of TCM glossary and on further convergence between computer science and TCM are crucial.
Keywords :
decision making; medical diagnostic computing; support vector machines; TCM diagnosis; computer science; decision making model; support vector machine; traditional Chinese medicine diagnosis; Decision making; History; Intelligent systems; Machine intelligence; Machine learning; Medical diagnostic imaging; Medical treatment; Paper technology; Support vector machine classification; Support vector machines; radial basis function; support vector machine; traditional Chinese medicine diagnosis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
Type :
conf
DOI :
10.1109/GCIS.2009.318
Filename :
5208962
Link To Document :
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