关联规则数据挖掘方法在中医药研究中应用进展  

Application Progress on Association Rule of Data Mining Method in Research of Traditional Chinese Medicine

作　　者：许海柱[1] 张婷[1] 孙建立[1] 

机构地区：[1]上海中医药大学附属龙华医院,上海200032

出　　处：《辽宁中医药大学学报》2013年第12期131-134,共4页Journal of Liaoning University of Traditional Chinese Medicine

基　　金：上海市卫生局资助项目(2010S14);上海市教委资助项目(2010JW40);吴阶平基金会资助项目(320.6750.12217);上海市自然科学基金资助项目(13ZR1442300)

摘　　要：近年来,关联规则等数据挖掘方法不断引入中医药研究中,在探索分析中医药知识和规律方面发挥了重要的作用。该文综述了关联规则在中医病因病机、病症、证候及药物之间关系,名老中医经验传承,古今医案类方研究以及针灸处方、中药药性分析等方面的应用。In recent years, the research of association rules and other data mining methods, which play an important role in the exploration and analysis of traditional Chinese medicine knowledge and rules, were introduced in traditional Chinese medicine. This article reviews the association rules in the relationship between the TCM etiology and pathogenesis, symptoms, syndromes and drugs, the old TCM doctors＇ experience, past and present medical class study and some other aspects of the main application, and application of acupuncture prescription and drug analysis.

关 键 词：关联规则 数据挖掘 中医药 综述 

分 类 号：R3[医药卫生—基础医学]