Research of Meridian Diagnosis System Based on SVM

Author

Zhang, Guo-Xia ; Liu, Fu-Qiang ; Song, Chun-Lin ; Lai, Pei-Yuan

Author_Institution

Key Lab. of Embedded Syst. & Service Comput., Tongji Univ., Shanghai, China

fYear

2009

fDate

11-13 June 2009

Firstpage

1

Lastpage

4

Abstract

Aiming at the deficiency of the current meridian diagnosis algorithms, SVM is applied to meridian diagnosis system. The system structure is described firstly, then the model selection of SVM is discussed in detail by taking chronic pharyngitis as an example: one-against-one method is used to realize multi-class; the problem of non-symmetrical samples of C-SVM is solved by giving positive and negative samples of different weights; a margin-based bound on generalization method is used to search parameters of the model. Finally, test results show that the classifier, which is realized and tested using vc++6.0, possess a very high recognition rate and can be applied to meridian diagnosis system.

Keywords

diseases; medical computing; patient diagnosis; support vector machines; C-SVM; chronic pharyngitis; classifier; generalization method; meridian diagnosis system; nonsymmetrical samples; one-against-one method; parameter search; system structure; vc++6.0; Biomedical imaging; Displays; Humans; Medical diagnostic imaging; Signal processing; Signal sampling; Support vector machine classification; Support vector machines; System testing; Web server;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-2901-1

Electronic_ISBN

978-1-4244-2902-8

Type

conf

DOI

10.1109/ICBBE.2009.5163321

Filename

5163321