Syndrome discrimination model of traditional Chinese medicine for chronic hepatitis B

Xiaoyu Chen; Na Chu; Lizhuang Ma; Yiyang Hu

doi:10.1109/BIBMW.2012.6470322

Syndrome discrimination model of traditional Chinese medicine for chronic hepatitis B

Xiaoyu Chen^*
, Na Chu
, Lizhuang Ma
, Yiyang Hu

^*Corresponding author for this work

Shanghai University of Traditional Chinese Medicine
Shanghai Jiao Tong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Traditional Chinese medicine (TCM) has been widely applied in chronic hepatitis B (CHB), and syndrome discrimination is the most important step of TCM and it is performed subjectively and generally by physicians at present, which hinders the application prospects of TCM. In this paper, a CHB discrimination model of TCM is proposed basing on information gain, logistic attribute selection and space vector, through the approach, critical weighting attributes are selected, and cases are discriminated. The discriminant model is evaluated by CHB dataset, 34 critical weighting attributes are selected and 555 typical cases of two syndromes are identified respectively. And the selected critical attributes are in sound agreement with those used in TCM syndrome differentiation by physicians. Finally, results of this discriminant model for CHB are compared with other methods, and experimental results also show the discriminant model performs well in the application for TCM syndrome differentiation of CHB.

Original language	English
Title of host publication	Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012
Pages	310-315
Number of pages	6
DOIs	https://doi.org/10.1109/BIBMW.2012.6470322
State	Published - 2012
Externally published	Yes
Event	2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012 - Philadelphia, PA, United States Duration: 4 Oct 2012 → 7 Oct 2012

Publication series

Name	Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012

Conference

Conference	2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012
Country/Territory	United States
City	Philadelphia, PA
Period	4/10/12 → 7/10/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

CHB discriminant model of TCM
attribute selection
information gain
multidimensional vector space

Access to Document

10.1109/BIBMW.2012.6470322

Cite this

Chen, X., Chu, N., Ma, L., & Hu, Y. (2012). Syndrome discrimination model of traditional Chinese medicine for chronic hepatitis B. In Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012 (pp. 310-315). Article 6470322 (Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012). https://doi.org/10.1109/BIBMW.2012.6470322

@inproceedings{949c3977f0014bd2a532b14ad0824801,

title = "Syndrome discrimination model of traditional Chinese medicine for chronic hepatitis B",

abstract = "Traditional Chinese medicine (TCM) has been widely applied in chronic hepatitis B (CHB), and syndrome discrimination is the most important step of TCM and it is performed subjectively and generally by physicians at present, which hinders the application prospects of TCM. In this paper, a CHB discrimination model of TCM is proposed basing on information gain, logistic attribute selection and space vector, through the approach, critical weighting attributes are selected, and cases are discriminated. The discriminant model is evaluated by CHB dataset, 34 critical weighting attributes are selected and 555 typical cases of two syndromes are identified respectively. And the selected critical attributes are in sound agreement with those used in TCM syndrome differentiation by physicians. Finally, results of this discriminant model for CHB are compared with other methods, and experimental results also show the discriminant model performs well in the application for TCM syndrome differentiation of CHB.",

keywords = "CHB discriminant model of TCM, attribute selection, information gain, multidimensional vector space",

author = "Xiaoyu Chen and Na Chu and Lizhuang Ma and Yiyang Hu",

year = "2012",

doi = "10.1109/BIBMW.2012.6470322",

language = "英语",

isbn = "9781467327466",

series = "Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012",

pages = "310--315",

booktitle = "Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012",

note = "2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012 ; Conference date: 04-10-2012 Through 07-10-2012",

}

Chen, X, Chu, N, Ma, L & Hu, Y 2012, Syndrome discrimination model of traditional Chinese medicine for chronic hepatitis B. in Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012., 6470322, Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012, pp. 310-315, 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012, Philadelphia, PA, United States, 4/10/12. https://doi.org/10.1109/BIBMW.2012.6470322

Syndrome discrimination model of traditional Chinese medicine for chronic hepatitis B. / Chen, Xiaoyu; Chu, Na; Ma, Lizhuang et al.
Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012. 2012. p. 310-315 6470322 (Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Syndrome discrimination model of traditional Chinese medicine for chronic hepatitis B

AU - Chen, Xiaoyu

AU - Chu, Na

AU - Ma, Lizhuang

AU - Hu, Yiyang

PY - 2012

Y1 - 2012

N2 - Traditional Chinese medicine (TCM) has been widely applied in chronic hepatitis B (CHB), and syndrome discrimination is the most important step of TCM and it is performed subjectively and generally by physicians at present, which hinders the application prospects of TCM. In this paper, a CHB discrimination model of TCM is proposed basing on information gain, logistic attribute selection and space vector, through the approach, critical weighting attributes are selected, and cases are discriminated. The discriminant model is evaluated by CHB dataset, 34 critical weighting attributes are selected and 555 typical cases of two syndromes are identified respectively. And the selected critical attributes are in sound agreement with those used in TCM syndrome differentiation by physicians. Finally, results of this discriminant model for CHB are compared with other methods, and experimental results also show the discriminant model performs well in the application for TCM syndrome differentiation of CHB.

AB - Traditional Chinese medicine (TCM) has been widely applied in chronic hepatitis B (CHB), and syndrome discrimination is the most important step of TCM and it is performed subjectively and generally by physicians at present, which hinders the application prospects of TCM. In this paper, a CHB discrimination model of TCM is proposed basing on information gain, logistic attribute selection and space vector, through the approach, critical weighting attributes are selected, and cases are discriminated. The discriminant model is evaluated by CHB dataset, 34 critical weighting attributes are selected and 555 typical cases of two syndromes are identified respectively. And the selected critical attributes are in sound agreement with those used in TCM syndrome differentiation by physicians. Finally, results of this discriminant model for CHB are compared with other methods, and experimental results also show the discriminant model performs well in the application for TCM syndrome differentiation of CHB.

KW - CHB discriminant model of TCM

KW - attribute selection

KW - information gain

KW - multidimensional vector space

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M3 - 会议稿件

AN - SCOPUS:84875616096

SN - 9781467327466

T3 - Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012

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EP - 315

BT - Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012

T2 - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012

Y2 - 4 October 2012 through 7 October 2012

ER -

Chen X, Chu N, Ma L, Hu Y. Syndrome discrimination model of traditional Chinese medicine for chronic hepatitis B. In Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012. 2012. p. 310-315. 6470322. (Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012). doi: 10.1109/BIBMW.2012.6470322

Syndrome discrimination model of traditional Chinese medicine for chronic hepatitis B

Abstract

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UN SDGs

Keywords

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