Application of Support Vector Machine in TCM Diagnosis

被引：1
|
作者：
Yan, Jun-Feng [1 ]
Zhan, Yan [1 ]
Zhu, Wen-Feng [2 ]
机构：
[1] Hunan Univ Tradit Chinese Med, Changsha, Hunan, Peoples R China
[2] Inst Tradit Chinese Med Diag, Changsha, Hunan, Peoples R China
来源：
PROCEEDINGS OF THE 2009 WRI GLOBAL CONGRESS ON INTELLIGENT SYSTEMS, VOL I | 2009年
关键词：
traditional Chinese medicine diagnosis; support vector machine; radial basis function;
D O I：
10.1109/GCIS.2009.318
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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
引用
收藏
页码：338 / +
页数：3
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