关联规则挖掘在治疗肺癌组分中药发现中的应用研究  

Study on association rule mining in multi-component Chinese medicine research and development for treatment of lung cancer

作　　者：雷蕾[1] 崔蒙[1] 秘仲凯[2] 

机构地区：[1]中国中医科学院中医药信息研究所,北京100700 [2]浙江大学计算机学院,浙江杭州310027

出　　处：《中国中药杂志》2010年第16期2192-2195,共4页China Journal of Chinese Materia Medica

基　　金：国家"十一五"科技支撑计划项目(2006BAI08B02-03);中国中医科学院基本科研业务费自主选题项目(Z02041)

摘　　要：使用关联规则挖掘研究方剂中化学组分高频组合,为组分中药发现提供新途径。方法为基于丰富的中医药文献数据,从临床治疗肺癌的方剂出发,使用关联规则挖掘算法,找到方剂中化学组分之间的强关联关系,最后使用药理实验数据对数据挖掘结果进行解释。关联规则挖掘在肺癌组分中药发现中有着广阔的应用前景。Association rule mining was used to filter high-frequency combinations of chemistry components which were from clinical prescriptions in order to find a new available method for multi-component Chinese medicine research and development.First,1 120 TCM clinic papers about curing lung cancer were selected from clinic literature database.Second,chemical components were obtained from prescription described in TCM clinic papers through Chinese medicine pharmacological test database.Third,association rule mining was used to find out high-frequency combinations of chemical components.Finally,some interesting conclusions were obtained from association rule mining results through chemical component′s pharmacological effects.Association rule mining of Chinese medicine chemical components provided a new method for multi-component Chinese medicine research and development.

关 键 词：关联规则挖掘 肺癌 组分中药 

分 类 号：R287[医药卫生—中药学]