基于关联规则与熵聚类的健脾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);北京市与中央在京高校共建项目(编号:BJGJ1420);北京中医药大学与北京灸道堂中医研究院横向合作课题


Analysis on Composition Rules of Chinese Patent Drugs with Tonifying Spleen Based on Association Rules and Clustering Algorithm
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    摘要:

    目的:探讨常用健脾类中成药组方规律。方法:收录《新编国家中成药》中的健脾类中成药处方,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:高频次药物包括茯苓、白术、甘草、党参、陈皮等;高频次药物组合包括“白术、茯苓”“甘草、茯苓”“甘草、白术”等;置信度较高的关联规则包括“陈皮->白扁豆”“陈皮->半夏”等。结论:处方用药中除常见的健脾类中药外,尚包括具有健脾作用的部分理气药、消食药及其他类药物。

    Abstract:

    To investigate composition rules of Chinese patent drugs with tonifying spleen. Methods:The prescriptions of Chinese patent drugs with tonifying spleen in “The New National Medicine” were collected to build a database. 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 prescriptions of Chinese patent drugs with tonifying spleen, the most frequency used drugs were Poria Cocos Wolff, Rhizoma Atractylodis Macrocephalae, Radix Glycyrrhizae, Radix Codonopsitis, Pericarpium Citri Reticulatae. The most common drug combinations were” Rhizoma Atractylodis Macrocephalae, Poria Cocos Wolff”,” Radix Glycyrrhizae, Poria Cocos Wolff”,” Radix Glycyrrhizae, Rhizoma Atractylodis Macrocephalae”. The drugs with a high degree confidence coefficient of association rules include “Pericarpium Citri Reticulatae->Semen Dolichoris”, “Pericarpium Citri Reticulatae->Pinellia ternata”. Conclusion:There are not only the common drugs tonifying spleen, but also drugs regulating the flow of vital energy, removing obstruction toit, and helping digest.

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金燕萍,吴嘉瑞,张冰,杨冰,周唯,张晓朦.基于关联规则与熵聚类的健脾类中成药组方规律研究[J].世界中医药,2015,10(10).

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  • 收稿日期:2014-12-17
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  • 在线发布日期: 2015-11-03
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