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In Silico Syndrome Prediction for Coronary Artery Disease in Traditional Chinese Medicine
Joint Authors
Chen, Jianxin
Lu, Peng
Shi, Qi
Wang, Wei
Zhao, Huihui
Gao, Yibo
Luo, Liangtao
Zuo, Xiaohan
Yang, Yiping
Yi, Jianqiang
Source
Evidence-Based Complementary and Alternative Medicine
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-04-10
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Coronary artery disease (CAD) is the leading causes of deaths in the world.
The differentiation of syndrome (ZHENG) is the criterion of diagnosis and therapeutic in TCM.
Therefore, syndrome prediction in silico can be improving the performance of treatment.
In this paper, we present a Bayesian network framework to construct a high-confidence syndrome predictor based on the optimum subset, that is, collected by Support Vector Machine (SVM) feature selection.
Syndrome of CAD can be divided into asthenia and sthenia syndromes.
According to the hierarchical characteristics of syndrome, we firstly label every case three types of syndrome (asthenia, sthenia, or both) to solve several syndromes with some patients.
On basis of the three syndromes’ classes, we design SVM feature selection to achieve the optimum symptom subset and compare this subset with Markov blanket feature select using ROC.
Using this subset, the six predictors of CAD’s syndrome are constructed by the Bayesian network technique.
We also design Naïve Bayes, C4.5 Logistic, Radial basis function (RBF) network compared with Bayesian network.
In a conclusion, the Bayesian network method based on the optimum symptoms shows a practical method to predict six syndromes of CAD in TCM.
American Psychological Association (APA)
Lu, Peng& Chen, Jianxin& Zhao, Huihui& Gao, Yibo& Luo, Liangtao& Zuo, Xiaohan…[et al.]. 2012. In Silico Syndrome Prediction for Coronary Artery Disease in Traditional Chinese Medicine. Evidence-Based Complementary and Alternative Medicine،Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-1028004
Modern Language Association (MLA)
Lu, Peng…[et al.]. In Silico Syndrome Prediction for Coronary Artery Disease in Traditional Chinese Medicine. Evidence-Based Complementary and Alternative Medicine No. 2012 (2012), pp.1-11.
https://search.emarefa.net/detail/BIM-1028004
American Medical Association (AMA)
Lu, Peng& Chen, Jianxin& Zhao, Huihui& Gao, Yibo& Luo, Liangtao& Zuo, Xiaohan…[et al.]. In Silico Syndrome Prediction for Coronary Artery Disease in Traditional Chinese Medicine. Evidence-Based Complementary and Alternative Medicine. 2012. Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-1028004
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1028004