中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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

文献类型:期刊论文

作者Guo, Shuzhen1; Chen, Jianxin1; Zhao, Huihui1; Wang, Wei1; Yi, Jianqiang2; Liu, Lei1; Qi, Qige1; Liu, Renquan1; Qiu, Qi1; Wang, Yong1
刊名JOURNAL OF BIOLOGICAL SYSTEMS
出版日期2009-12-01
卷号17期号:4页码:531-546
关键词Unstable Angina Blood Stasis Syndrome Traditional Chinese Medicine Data Mining Animal Model Myocardial Ischemia Classification Radial Basis Function Network
英文摘要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.
WOS标题词Science & Technology ; Life Sciences & Biomedicine
类目[WOS]Biology ; Mathematical & Computational Biology
研究领域[WOS]Life Sciences & Biomedicine - Other Topics ; Mathematical & Computational Biology
关键词[WOS]ALGORITHM ; FAILURE ; DISEASE
收录类别SCI
语种英语
WOS记录号WOS:000273426400001
源URL[http://ir.ia.ac.cn/handle/173211/4142]  
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
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.

入库方式: OAI收割

来源:自动化研究所

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