| BUILDING AND EVALUATING AN ANIMAL MODEL FOR SYNDROME IN TRADITIONAL CHINESE MEDICINE IN THE CONTEXT OF UNSTABLE ANGINA (MYOCARDIAL ISCHEMIA) BY SUPERVISED DATA MINING APPROACHES | |
Guo, Shuzhen1; Chen, Jianxin1; Zhao, Huihui1; Wang, Wei1; Yi, Jianqiang2 ; Liu, Lei1; Qi, Qige1; Liu, Renquan1; Qiu, Qi1; Wang, Yong1
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| 发表期刊 | JOURNAL OF BIOLOGICAL SYSTEMS
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| 2009-12-01 | |
| 卷号 | 17期号:4页码:531-546 |
| 文章类型 | Article |
| 摘要 | Building an animal model for a disease is a better avenue to understand the inner mechanism of it. Traditional Chinese Medicine accumulated much practical experience and a large amount of literature to heal diseases during the past 3000 years. However, as there is no available animal model for TCM research because syndrome, the core of TCM theory, it is hard to be diagnosed from animals. In this paper, we present a novel strategy to build and evaluate an animal model for syndrome in TCM in the context of a disease. We first carried out a clinical epidemiology survey for a syndrome ( Blood stasis syndrome, BSS) diagnosed by TCM experts in the context of a disease ( Unstable angina, UA). Meanwhile, the blood samples of patients included in the survey were collected and measured as physical and chemical specifications by laboratory examinations. Alternatively, we used supervised data mining methods to build association between the specifications and the syndrome in the context of UA. The accuracy of classification was used to evaluate performance of the association built. Finally, we built an animal model for myocardial ischemia and validated the model by established diagnosis criterion of myocardial ischemia. Furthermore, the built association was used to evaluate whether an animal is with BSS. The results indicated that the strategy successfully evaluates and separates the animal model for syndrome in TCM from the counterpart for myocardial ischemia. The novel strategy presented in the paper provides a better insight to understand the nature of syndrome in TCM and pave a basis for personalized therapies of UA. |
| 关键词 | Unstable Angina Blood Stasis Syndrome Traditional Chinese Medicine Data Mining Animal Model Myocardial Ischemia Classification Radial Basis Function Network |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
| 关键词[WOS] | ALGORITHM ; FAILURE ; DISEASE |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS研究方向 | Life Sciences & Biomedicine - Other Topics ; Mathematical & Computational Biology |
| WOS类目 | Biology ; Mathematical & Computational Biology |
| WOS记录号 | WOS:000273426400001 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/4142 |
| 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 |
| 推荐引用方式 GB/T 7714 | Guo, Shuzhen,Chen, Jianxin,Zhao, Huihui,et al. BUILDING AND EVALUATING AN ANIMAL MODEL FOR SYNDROME IN TRADITIONAL CHINESE MEDICINE IN THE CONTEXT OF UNSTABLE ANGINA (MYOCARDIAL ISCHEMIA) BY SUPERVISED DATA MINING APPROACHES[J]. JOURNAL OF BIOLOGICAL SYSTEMS,2009,17(4):531-546. |
| APA | Guo, Shuzhen.,Chen, Jianxin.,Zhao, Huihui.,Wang, Wei.,Yi, Jianqiang.,...&Wang, Yong.(2009).BUILDING AND EVALUATING AN ANIMAL MODEL FOR SYNDROME IN TRADITIONAL CHINESE MEDICINE IN THE CONTEXT OF UNSTABLE ANGINA (MYOCARDIAL ISCHEMIA) BY SUPERVISED DATA MINING APPROACHES.JOURNAL OF BIOLOGICAL SYSTEMS,17(4),531-546. |
| MLA | Guo, Shuzhen,et al."BUILDING AND EVALUATING AN ANIMAL MODEL FOR SYNDROME IN TRADITIONAL CHINESE MEDICINE IN THE CONTEXT OF UNSTABLE ANGINA (MYOCARDIAL ISCHEMIA) BY SUPERVISED DATA MINING APPROACHES".JOURNAL OF BIOLOGICAL SYSTEMS 17.4(2009):531-546. |
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| 2009 JBS - Building （494KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
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