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基于Apriori算法的中药复方配伍规律的数据挖掘研究

傅斌 王晓维 杨伟吉 罗恭

中国医学教育技术2012,Vol.26Issue(4):434-437,4.
中国医学教育技术2012,Vol.26Issue(4):434-437,4.

基于Apriori算法的中药复方配伍规律的数据挖掘研究

Apriori-based data mining of compatibility regularity of Chinese traditional medicine

傅斌 1王晓维 2杨伟吉 1罗恭1

作者信息

  • 1. 浙江中医药大学,杭州310053
  • 2. 杭州方回春堂国医馆,杭州310000
  • 折叠

摘要

Abstract

The compatibility regularity of Chinese traditional medicine has been documented in ancient literature, but previous literature is more of authors' experience accounts rather than research results. Based on literature-based research and theoretical study combined with data mining technology, a newly emerging discipline, we studied compatible regularity of Chinese traditional medicine with association rules analysis method. It will provide target and thoughts for clinical and experimental studies of new traditional Chinese medicine, reduce blindness, and shorten research cycle. At the same time, it will explore a valuable research approaches and methods for research on a large number of ancient and _modern prescriptions.

关键词

Apriori算法/中药复方/配伍规律

Key words

apriori/traditional Chinese medicine compound/regularity of compatibility

分类

社会科学

引用本文复制引用

傅斌,王晓维,杨伟吉,罗恭..基于Apriori算法的中药复方配伍规律的数据挖掘研究[J].中国医学教育技术,2012,26(4):434-437,4.

基金项目

2012年浙江省中医药科学研究基金计划“基于Apriori算法的脾胃类中药复方配伍规律的研究”(2012ZB026) (2012ZB026)

浙江中医药大学校级科研基金项目“基于Apriori算法的复方中药频繁项集的发现研究”(2010ZY23) (2010ZY23)

中国医学教育技术

1004-5287

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