文档介绍：现代生物医学进展 gress in Modern Biomedicine ·3945 ·
基于数据挖掘技术的方剂配伍规律研究述评*
张林 1 梁茂新 1△宫俊 2 董俊龙 2 唐加福 2
(1 辽宁中医药大学辽宁沈阳 110032;2 东北大学信息科学与工程学院辽宁沈阳 110006)
摘要:本文系统回顾和总结了采用关联规则、聚类分析、分类模式等数据挖掘方法揭示方剂配伍规律的研究进展和成果,重点分
析了基于古代方剂文献的挖掘对象、挖掘方法的特点,以及研究存在的不足和问题,提出了解决这些问题的思路与方法。
关键词:方剂配伍规律;数据挖掘;关联规则;聚类分析;分类模式
中图分类号:R289 文献标识码:A 文章编号:1673-6273(2010)20-3945-03
Law of patibility Based on Data Mining in Ancient
Chinese Literature of Prescription*
ZHANG Lin1, LIANG Mao-xin1△, GONG Jun2, DONG Jun-long2, TANG Jia-fu2
(1 Liaoning University of Chinese Medicine Shenyang 110032;
2 Northeast University Shenyang 110006)
ABSTRACT: This paper systematically reviews studies and achievements of data mining on knowledge discovery in Chinese
medicine formula. The methods include association rule, cluster analsysis and sort mode. Fristly, the characteristics of the objects and
methods of data mining for Chinese medicine formula are analysed. Secondly, the disadvantages and problems appeared in previous stud-
ies are discussed. Lastly, the future research directions are proposed based on data mining technique.
Key words: compatibility regulation of Chinese medicine formula; data mining; association rule; cluster analsysis; sort mode
Chinese Library Classification (CLC): R289 Document code: A
Article ID: 1673-6273(2010)20-3945-03
两药组合、三药组合配伍方面确有一定的科学规律存在。陈波[2]
1 前言