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基于关联规则和复杂系统熵聚类的中药相畏药物组合规律研究

Analysis on Drug Combination Rule in Mutual Restraint Based on Apriori and Clustering Algorithm
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摘要 目的探讨中药七情配伍中相畏药对的组合规律。方法收集整理《本草纲目》中的相畏药对,采用关联规则和复杂系统熵聚类方法,分析相畏药物中单味药物和药物组合的出现频次及药物之间的关联规则。结果相畏药组中出现频次较高的单味药包括黄连、巴豆、大黄、扁青、石菖蒲等,出现频次较高的药物组合是"扁青,茵陈蒿"、"巴豆,黄连"、"巴豆,黑豆"等,置信度为1的关联规则包括"靛汁→巴豆"、"靛汁→黄连"等。结论相畏药组以矿物药、清热药、泻下药、毒性药等为主要组成药物。 Objective To investigate the drug combination of mutual restraint which is one of the application of seven different combination in drug in traditional Chinese medicine. Methods With the methods of association rules and complex system entropy clustering, we analyzed the drug combinations of mutual restraint that were collected from Compendium of Material Medica, to obtain the frequence of the single drug and drug combination of mutual restraint and the association rules between them. Results The single drugs with higher frequency are Rhizoma Coptidis, Fructus Crotonis, Rhei Radix Et Rhizoma, Azurite, Rhizoma Acori Tatarinowii, etc. The drug combinations with higher frequency are Azurite and Artemisia capillaries, Fructus Crotonis and Rhizoma Coptidis, Fructus Crotonis and Soybean etc. The associative drug combinations which confidence is 1 include "Indigo juice → Fructus Crotonis" , "Indigo juice → Rhizoma Coptidis" , etc. Conclusion The drug combinations of mutual restraint mainly include mineral drugs, antipyretics, purgatives, and toxic drugs.
机构地区 北京中医药大学
出处 《中国中医药信息杂志》 CAS CSCD 2013年第10期19-21,共3页 Chinese Journal of Information on Traditional Chinese Medicine
基金 国家重点基础研究发展计划(2007CB512605) 国家级大学生创新创业训练计划(201210026058) 北京中医药大学科研创新团队项目(2011-CXTD-14)
关键词 相畏 关联规则 聚类算法 配伍 mutual restraint association rules clustering algorithm compatibility of medicines
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