摘要
以数据挖掘为技术手段,对方剂中药对的量效关联进行分析,主要工作包括:根据中药方剂中药物剂量分布的一般规律,用聚类方法自动划分药物剂量的模糊区间;基于模糊关联规则的概念,提出药对量效关联规则的挖掘算法;对所提出的算法进行了实现和验证。结果表明,基于聚类和模糊关联规则挖掘的中医药对量效关联分析符合中医药的基本特点,挖掘出的知识具有较高的正确率。
This paper adopted data mining technology to analyze the relations on dose-effect of couplet medicines in TCM prescriptions. The main contributions included：according to the common rule of dose distribution in TCM prescriptions, automatically partitioned the fuzzy sets of medicine dose by means of clustering ; proposed an algorithm of mining dose-effect relations of couplet medicines in TCM based on the concept of fuzzy association rule ; implemented and tested the proposed algorithm. The experiment demonstrates that dose-effect analysis of couplet medicines based on clustering and fuzzy association rules accords with the basic characteristics of TCM. The knowledge gotten has the virtue of high accuracy.
出处
《计算机应用研究》
CSCD
北大核心
2009年第1期59-61,共3页
Application Research of Computers
基金
国家自然科学基金资助项目(60473071,90409007)
高等学校博士学科点专项科研基金SRFDP资助项目(20020610007)
四川大学计算机学院青年基金资助项目
关键词
模糊关联规则
聚类
中药配伍
fuzzy association rules
clustering
TCM （ traditional Chinese medicine） compatibility law
