世界中医药Issue(3)：434-437,4.DOI:10.3969/j.issn.1673-7202.2015.03.034
基于关联规则与熵聚类的清热类中成药组方规律研究
Analysis on the Composition Rules of Chinese Patent Medicine with Heat-clearing Based on Association Rules and Clustering Algorithm
摘要
Abstract
Objective:To investigate composition rules of with heat-clearing Chinese patent medicine.Methods:The prescriptions of Chinese patent medicine with heat-clearing in “The new national Medicine”were collected to build a database of the methods of association rules with apriori algorithm and complex system entropy cluster were used to achieve the frequency of medicines and as-sociation rules between drugs.Results:Data-mining results indicated that in the prescriptions of Chinese patent drugs with heat-clearing,the most frequently used drugs were Radix Glycyrrhizae,Radix Scutellariae,Borneol,Flos Lonicerae Japonicae,Radix et Rhizoma Rhei,and Fructus Forsythiae.The most frequently used drug combinations were “Radix Glycyrrhizae with Radix Scutellar-iae”,“Radix Glycyrrhizae with Radix Platycodi”,and “Fructus Forsythiae with Flos Lonicerae Japonicae”,etc.Medicine with a high degree confidence coefficient of association rules include “Bezoar->Borneol”,“Radix Platycodi->Radix Glycyrrhizae”,“Cinnabis->borneol”,and “Fructus Gardeniae->Radix Scutellariae”.Conclusion:In the prescriptions of Chinese patent drugs, there includes not only the drugs with heat-clearing property,but also that with resuscitation,calming,lapactic and other properties.关键词
清热药/关联规则/熵聚类Key words
Chinese patent drugs/Heat-clearing/Association Rules/Entropy Clustering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清热类中成药组方规律研究[J].世界中医药,2015,(3):434-437,4.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资助（编号2011－CXTD －14）；北京中医药大学“重点学科”开放课题 （）
