Preliminary Study of Prescription Compatibility Law based on Association Rule Mining

MA Jin-gang; HU Zhi-shuai; CAO Hui; LAI Jian-mei

doi:10.11653/zgsyfjxzz2013070351

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Preliminary Study of Prescription Compatibility Law based on Association Rule Mining

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- Preliminary Study of Prescription Compatibility Law based on Association Rule Mining
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 19, Issue 7, Pages: 351-353(2013)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11653/zgsyfjxzz2013070351
  CLC：
- Published：2013
- 稿件说明：
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MA Jin-gang, HU Zhi-shuai, CAO Hui, et al. Preliminary Study of Prescription Compatibility Law based on Association Rule Mining[J]. Chinese journal of experimental traditional medical formulae, 2013, 19(7): 351-353.
DOI：

MA Jin-gang, HU Zhi-shuai, CAO Hui, et al. Preliminary Study of Prescription Compatibility Law based on Association Rule Mining[J]. Chinese journal of experimental traditional medical formulae, 2013, 19(7): 351-353. DOI： 10.11653/zgsyfjxzz2013070351.

摘要

目的: 构建结构化的方剂信息数据库

挖掘方剂中药物之间的关联规则

进一步研究方剂的配伍规律。方法: 运用基于正则表达式的信息抽取方法

以vs 2008编程实现自动抽取

并以SQL Sever 2005进行关联规则挖掘。结果: 生成了结构化的方剂信息数据库

并初步抽取方剂信息81 305条;在最小支持度为10%

最小置信度为70%的条件下

得到高频药物9味

生成规则4条。结论: 基于正则表达式的信息抽取方法使全面大规模研究方剂配伍规律成为可能

挖掘结果与中医理论和临床经验总体相符

为进一步研究提供也依据。

Abstract

Objective: This paper aims to build a prescription information database

mining the rules of drugs in the prescription

and study the compatibility law. Method: Using information extraction based on regular expressions and vs 2008 programming to realize automatic extraction

and realized association rules mining in SQL Sever 2005. Result: Generated a structured prescription information database

and initial extracted prescription information 81 305.When the support degree is 10% and the confidence level is 70%

9 kinds of high frequency drus and 4 rules were geted. Conclution: The method of information extraction based on regular expressions make it be possible that make a full-scale study of prescription compatibility law. The results of data mining and the theory of traditional Chinese medicine and clinical experience were matching overall

which lay a foundation for further study.

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Related Author

Fu-zhi ZHANG

Ya-dong LIN

Lei LEI

Wen-jing GAO

Min HOU

Li KANG

Jun-guo REN

Yong-mei GUAN

Related Institution

Xiyuan Clinical Medical College, Beijing University of Chinese Medicine

Beijing Key Laboratory of Pharmacology of Chinese Materia Medica,Institute of Basic Medical Sciences,Xiyuan Hospital,China Academy of Chinese Medical Sciences

Institute of Information on Traditional Chinese Medicine,China Academy of Chinese Medical Sciences

Key Laboratory of Modern Preparation of Traditional Chinese Medicine(TCM), Ministry of Education, College of Computer Science, School of Pharmacy, Jiangxi University of TCM

Graduate School， Hebei University of Chinese Medicine

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