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