东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2011, Vol. 32 ›› Issue (8): 1097-1100.DOI: -

• 论著 • 上一篇    下一篇

基于关联规则的广义药对最适合病证的挖掘方法

宫俊;董俊龙;梁茂新;唐加福;   

  1. 东北大学信息科学与工程学院;东北大学流程工业综合自动化国家重点实验室;辽宁中医药大学基础学院;
  • 收稿日期:2013-06-19 修回日期:2013-06-19 发布日期:2013-04-04
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(70971019);;

An association rule-based method for finding generalized herbs suitable for syndromes

Gong, Jun (1); Dong, Jun-Long (1); Liang, Mao-Xin (3); Tang, Jia-Fu (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110819, China; (2) State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China; (3) Foundation College, Liaoning University of Traditional Chinese Medicine, Shenyang 110032, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Gong, J.
  • About author:-
  • Supported by:
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摘要： 为了发现以中医病证为对象的方药配伍规律,提出了一种基于古代方剂文献、利用关联规则的知识发现方法.首先借助《普济方》数据库管理系统,遍历数据库中每个单一病证的强关联药对,然后再根据强关联药对出现病证的个数,来获得广义药对;在此基础上,以置信度和支持度作为判断指标,找到广义药对的最佳适应病证.最后通过中医理论补充说明了该方法的有效性.改变了过去许多研究中出现的最小支持度普遍偏小的缺点,从而在一定程度上提高了方法的实用性.

关键词: 数据挖掘, 方剂配伍, 关联规则, 广义药对, 中医病证

Abstract: A new method based on Chinese medicine literature and association rule technique is proposed to find the Chinese medicine composition rules orientated towards syndromes. Firstly, the strong correlation paired herbs with each syndrome are mined by traversing the whole database called "Pujifang Database Management System". Then, commonly used paired herbs are identified based on the number of syndromes healed by the strong correlation herbs. Finally, the most suitable syndrome for commonly paired herbs is estimated by the degrees of confidence and support and validated by the theory of traditional Chinese medicine. The method overcomes the drawback that the minimum support degree is lower in many studies. The results illustrate that the new method is effective and suitable to be used generally.

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