关联规则在方剂配伍规律中的挖掘研究  

Mining research on association rules in law of compatibility of medicines in prescriptions

作　　者：陈安娜[1] 陈联源[2] 

机构地区：[1]漳州卫生职业学院信息技术部,福建漳州363000 [2]漳州市中医院骨伤科,福建漳州363000

出　　处：《齐齐哈尔大学学报（自然科学版）》2013年第6期41-43,61,共4页Journal of Qiqihar University(Natural Science Edition)

摘　　要：方剂以中医药理论为指导,"配伍"是将诸药按照一定规则进行组合,是方剂研究的核心问题。使用关联规则挖掘技术分析方剂配伍的模式和规则,深化对方剂配伍本质规律的认识,将传统的Apriori算法与改进的算法进行实验分析。结果表明,改进的算法能为合理的配伍与精简复方提供理论支持。The theory of traditional Chinese medicine is the guidance of prescription. Compatibility means that all drugs are combined according to certain rules, and it is the core problem of prescription study. The mining technology of association rules are used to analyze the patterns and rules of prescription compatibility , which deepens the recognition on the nature of prescription compatibility. The traditional Apriori algorithm and the improved algorithm are for experimental analysis. And the results indicate that the improved algorithm can provide theoretical support for reasonable compatibility and streamlining the compound.

关 键 词：方剂配伍规律 关联规则 兴趣度 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]