A novel computerized method based on support vector machine for tongue diagnosis

Zhong Gao; Laiman Po; Wu Jiang; Xin Zhao; Hao Dong

doi:10.1109/SITIS.2007.115

A novel computerized method based on support vector machine for tongue diagnosis

Zhong Gao^*, Laiman Po, Wu Jiang, Xin Zhao, Hao Dong

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

17 Citations (Scopus)

Abstract

The tongue diagnosis is an important diagnostic method in Traditional Chinese Medicine (TCM). In this paper, we present a novel computerized tongue inspection method based on Support Vector Machine (SVM). First, two kinds of quantitative features, chromatic and textural measures, are extracted from tongue images by using popular image processing techniques. Then, Support Vector Machine and Bayesian network are employed to build the mapping relationships between these features and diseases, respectively. Finally, we present a comparison between SVM and BN classification. The experiment results show that we can use SVM to classify the tongue images more excellently and get a relative reliable prediction of diseases based on these features. © 2008 IEEE.

Original language	English
Title of host publication	Proceedings - International Conference on Signal Image Technologies and Internet Based Systems, SITIS 2007
Pages	849-854
DOIs	https://doi.org/10.1109/SITIS.2007.115
Publication status	Published - 2007
Event	3rd IEEE International Conference on Signal Image Technologies and Internet Based Systems, SITIS'07 - Jiangong Jinjiang, Shanghai, China Duration: 16 Dec 2007 → 18 Dec 2007

Conference

Conference	3rd IEEE International Conference on Signal Image Technologies and Internet Based Systems, SITIS'07
Country/Territory	China
City	Jiangong Jinjiang, Shanghai
Period	16/12/07 → 18/12/07

Research Keywords

Bayesian networks
Computerized tongue diagnosis
Support vector machine
Traditional chinese medicine

Access Output

10.1109/SITIS.2007.115

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@inproceedings{b2b032c6f66649ccbdab0fd7e418049f,

title = "A novel computerized method based on support vector machine for tongue diagnosis",

abstract = "The tongue diagnosis is an important diagnostic method in Traditional Chinese Medicine (TCM). In this paper, we present a novel computerized tongue inspection method based on Support Vector Machine (SVM). First, two kinds of quantitative features, chromatic and textural measures, are extracted from tongue images by using popular image processing techniques. Then, Support Vector Machine and Bayesian network are employed to build the mapping relationships between these features and diseases, respectively. Finally, we present a comparison between SVM and BN classification. The experiment results show that we can use SVM to classify the tongue images more excellently and get a relative reliable prediction of diseases based on these features. {\textcopyright} 2008 IEEE.",

keywords = "Bayesian networks, Computerized tongue diagnosis, Support vector machine, Traditional chinese medicine",

author = "Zhong Gao and Laiman Po and Wu Jiang and Xin Zhao and Hao Dong",

year = "2007",

doi = "10.1109/SITIS.2007.115",

language = "English",

isbn = "9780769531229",

pages = "849--854",

booktitle = "Proceedings - International Conference on Signal Image Technologies and Internet Based Systems, SITIS 2007",

note = "3rd IEEE International Conference on Signal Image Technologies and Internet Based Systems, SITIS'07 ; Conference date: 16-12-2007 Through 18-12-2007",

}

Gao, Z, Po, L, Jiang, W, Zhao, X & Dong, H 2007, A novel computerized method based on support vector machine for tongue diagnosis. in Proceedings - International Conference on Signal Image Technologies and Internet Based Systems, SITIS 2007., 4618862, pp. 849-854, 3rd IEEE International Conference on Signal Image Technologies and Internet Based Systems, SITIS'07, Jiangong Jinjiang, Shanghai, China, 16/12/07. https://doi.org/10.1109/SITIS.2007.115

A novel computerized method based on support vector machine for tongue diagnosis. / Gao, Zhong; Po, Laiman; Jiang, Wu et al.
Proceedings - International Conference on Signal Image Technologies and Internet Based Systems, SITIS 2007. 2007. p. 849-854 4618862.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - A novel computerized method based on support vector machine for tongue diagnosis

AU - Gao, Zhong

AU - Po, Laiman

AU - Jiang, Wu

AU - Zhao, Xin

AU - Dong, Hao

PY - 2007

Y1 - 2007

N2 - The tongue diagnosis is an important diagnostic method in Traditional Chinese Medicine (TCM). In this paper, we present a novel computerized tongue inspection method based on Support Vector Machine (SVM). First, two kinds of quantitative features, chromatic and textural measures, are extracted from tongue images by using popular image processing techniques. Then, Support Vector Machine and Bayesian network are employed to build the mapping relationships between these features and diseases, respectively. Finally, we present a comparison between SVM and BN classification. The experiment results show that we can use SVM to classify the tongue images more excellently and get a relative reliable prediction of diseases based on these features. © 2008 IEEE.

AB - The tongue diagnosis is an important diagnostic method in Traditional Chinese Medicine (TCM). In this paper, we present a novel computerized tongue inspection method based on Support Vector Machine (SVM). First, two kinds of quantitative features, chromatic and textural measures, are extracted from tongue images by using popular image processing techniques. Then, Support Vector Machine and Bayesian network are employed to build the mapping relationships between these features and diseases, respectively. Finally, we present a comparison between SVM and BN classification. The experiment results show that we can use SVM to classify the tongue images more excellently and get a relative reliable prediction of diseases based on these features. © 2008 IEEE.

KW - Bayesian networks

KW - Computerized tongue diagnosis

KW - Support vector machine

KW - Traditional chinese medicine

UR - http://www.scopus.com/inward/record.url?scp=57849146068&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-57849146068&origin=recordpage

U2 - 10.1109/SITIS.2007.115

DO - 10.1109/SITIS.2007.115

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9780769531229

SP - 849

EP - 854

BT - Proceedings - International Conference on Signal Image Technologies and Internet Based Systems, SITIS 2007

T2 - 3rd IEEE International Conference on Signal Image Technologies and Internet Based Systems, SITIS'07

Y2 - 16 December 2007 through 18 December 2007

ER -

A novel computerized method based on support vector machine for tongue diagnosis

Abstract

Conference

Research Keywords

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this