世界中医药Issue(2)：265-267,271,4.DOI:10.3969/j.issn.1673-7202.2015.02.029
基于关联规则与熵聚类的安神类中成药组方规律研究
Analysis on Composition Rules of TCM Tranquilizer Based on Association Rules and Clustering Algorithm
摘要
Abstract
Objective:To explore composition rules of TCM tranquilizer prescriptions.Methods:The tranquilizer prescriptions in“The New National Medicine”were collected to build a database based on traditional Chinese medicine inheritance assist system. The methods of association rules with apriori algorithm and complex system entropy cluster were used to achieve the frequency of medicines and association rules between drugs.Results:The data-mining results indicated that in the tranquilizer prescriptions,the highest frequently used drugs were Poria Cocos Wolff,Radix Glycyrrhizae,Angelica sinensis,Radix Ophiopogonis,Cinnabaris. The most frequent drug combinations were “Angelica sinensis,Poria Cocos Wolff”,“Poria Cocos Wolff,Parched Semen Ziziphi Spinosae”,“Radix Glycyrrhizae,Poria Cocos Wolff”.The drugs with a high degree confidence coefficient of association rules in-cluded “Calculus Bovis,Cinnabaris”,“Semen Ziziphi Spinosae,Poria Cocos Wolff”.The new prescriptions contained Poria Co-cos Wolff,Parched Semen Ziziphi Spinosae,Radix Rehmanniae Preparata,Fructus Schisandrae Chinensis,Radix Salviae Miltior-rhizae,Radix Ophiopogonis,and Radix Rehmanniae Exsiccata.Conclusion:Chinese medicine drugs in tranquilizer prescriptions usually have the effects of nourishing the blood,calming mind,benefiting the qi,replenishing the yin and quieting the spirit.关键词
安神药/关联规则/熵聚类Key words
Tranquilizer prescription/Association rules/Clustering algorithm分类
医药卫生引用本文复制引用
吴嘉瑞,金燕萍,张晓朦,张冰,盛晓光..基于关联规则与熵聚类的安神类中成药组方规律研究[J].世界中医药,2015,(2):265-267,271,4.基金项目
国家科技支撑计划课题（编号2007BAI10B01）；北京市中医药科技发展基金课题（编号JJ-2010-70）；北京中医药大学科研创新团队项目（编号2011-CXTD-14）；北京中医药大学“重点学科”开放课题 （）
