In Silico Syndrome Prediction for Coronary Artery Disease in Traditional Chinese Medicine

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	In Silico Syndrome Prediction for Coronary Artery Disease in Traditional Chinese Medicine
	Lu, Peng2 ; Chen, Jianxin 1; Zhao, Huihui 1; Gao, Yibo2 ; Luo, Liangtao 1; Zuo, Xiaohan 2; Shi, Qi 1; Yang, Yiping2 ; Yi, Jianqiang2 ; Wang, Wei 1
发表期刊	EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE
	2012
文章类型	Article
摘要	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 Naive 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.
WOS标题词	Science & Technology ; Life Sciences & Biomedicine
关键词[WOS]	FEATURE-SELECTION ; DISCOVERY ; ALGORITHM ; NETWORK ; GENE
收录类别	SCI
语种	英语
WOS研究方向	Integrative & Complementary Medicine
WOS类目	Integrative & Complementary Medicine
WOS记录号	WOS:000303737000001
引用统计	被引频次：13[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/4159
专题	综合信息系统研究中心
作者单位	1.Beijing Univ Chinese Med, Beijing 100029, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Lu, Peng,Chen, Jianxin,Zhao, Huihui,et al. In Silico Syndrome Prediction for Coronary Artery Disease in Traditional Chinese Medicine[J]. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE,2012.
APA	Lu, Peng.,Chen, Jianxin.,Zhao, Huihui.,Gao, Yibo.,Luo, Liangtao.,...&Wang, Wei.(2012).In Silico Syndrome Prediction for Coronary Artery Disease in Traditional Chinese Medicine.EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE.
MLA	Lu, Peng,et al."In Silico Syndrome Prediction for Coronary Artery Disease in Traditional Chinese Medicine".EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE (2012).

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