数据挖掘技术在治疗冠心病中药化学成分探索研究中应用的思路  

Research Ideas of Data Mining Techniques to Explore the Chemical Composition of Chinese Herb in the Treatment of Coronary Heart Disease

作　　者：刘丽红[1] 贾李蓉[1] 刘静[1] 李强[2] 

机构地区：[1]中国中医科学院中医药信息研究所,北京100700 [2]北京中医药大学大兴区中医医院,北京102600

出　　处：《辽宁中医药大学学报》2011年第9期26-28,共3页Journal of Liaoning University of Traditional Chinese Medicine

基　　金：国家科技部重大新药创制专项课题(2009ZX09301-005-001);国家高新技术研究发展计划(863计划)项目(2006AA01A122)

摘　　要：中药药效成分是中药治病的基础,而中药化学成分纷繁复杂,要在海量的数据信息中探索发现这些成分之间的组合规律直至筛选出有效成分组合具有重要意义。文章主要介绍应用数据挖掘技术探索性研究治疗冠心病中药化学成分所形成的一些思路,认为选用数据挖掘方法处理中医文献中海量信息,进行治疗冠心病中药化学成分筛选具有较强的优越性。The efficacy of Chinese herb composition is the basis of traditional Chinese medicine treatment, and the chemical composition of Chinese herb is complex, to explore the combination of these ingredients found in the law until the selected combination of active ingredients is important. This paper describes the application of data mining research to explore the chemical composition of Chinese herb treatment of coronary heart disease formed by some of the ideas that use data mining approach to vast amounts of information in Chinese literature, the chemical composition of Chinese herb for treatment of coronary heart disease screening has a strong advantage.

关 键 词：数据挖掘 冠心病 中医 中药成分筛选 

分 类 号：R541.4[医药卫生—心血管疾病]