基于关联规则与熵聚类的清热类中成药组方规律研究
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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(编号:2013-ZDXKKF-19)


Analysis on the Composition Rules of Chinese Patent Medicine with Heat-clearing Based on Association Rules and Clustering Algorithm
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    摘要:

    目的:探讨常用清热类中成药组方规律。方法:收录《新编国家中成药》中清热类中成药处方,采用关联规则Apriori算法和复杂系统熵聚类等方法,确定处方中药物的使用频次及药物之间的关联规则等。结果:高频次药物包括甘草、黄芩、冰片、金银花、大黄、连翘等;高频次药物组合包括“甘草、黄芩”“甘草、桔梗”“连翘、金银花”等;置信度较高的关联规则包括“牛黄->冰片”“桔梗->甘草”“朱砂->冰片”“栀子->黄芩”等。结论:处方用药中除常见的清热类中药外,尚包括具有清热作用的部分开窍药、安神药、泻下药及其他类药物。

    Abstract:

    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 association 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 Scutellariae”,“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.

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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,2015,10(03).

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  • 收稿日期:2014-07-19
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  • 在线发布日期: 2015-03-26
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