In Silico Syndrome Prediction for Coronary Artery Disease in Traditional Chinese Medicine
文献类型：期刊论文
| 作者 | Lu, Peng2 ; Chen, Jianxin1; Zhao, Huihui1; Gao, Yibo2; Luo, Liangtao1; Zuo, Xiaohan2; Shi, Qi1; Yang, Yiping2; Yi, Jianqiang2; Wang, Wei1
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| 刊名 | EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE
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| 出版日期 | 2012 |
| 英文摘要 | 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 |
| 类目[WOS] | Integrative & Complementary Medicine |
| 研究领域[WOS] | Integrative & Complementary Medicine |
| 关键词[WOS] | FEATURE-SELECTION ; DISCOVERY ; ALGORITHM ; NETWORK ; GENE |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000303737000001 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/4159]  |
| 专题 | 自动化研究所_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 |
| 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). |
入库方式： OAI收割
来源：自动化研究所
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