中国中医药信息杂志Issue(1)：43-46,4.DOI:10.3969/j.issn.1005-5304.2015.01.013
关联规则在栀子豉汤类方数据挖掘中的应用
A Research on SQL Server Association Rules in Data Mining forZhizichi Decoction Analogous Prescriptions
摘要
Abstract
Objective To discuss the specific role of association rules in the compatibility of herbs and the relationship between herbs and symptoms by analyzing ancient analogous prescriptions Zhizichi Decoction with SQL Server software.Methods The prescriptions which contain Gardenia and Semen Sojae Preparatum were searched in the database of “Ancient Prescriptions for Epidemic Disease”, and they were imported to software with the standardized data of their symptoms and ingredients, then the proper association rules were found. The laws between parameter setting and rule generation were searched through parameter adjustment.Results Many laws of the drug compatibility and relationship between herbs and symptoms were obtained effectively in data mining by adjusting the parameters:The support setting was good for finding common used drug compatibility, and the confidence was good for finding specific drug compatibility and relationship between herbs and symptoms;the item set which had high frequency, sometimes made the rule’s importance low.Conclusion The laws of compatibility of herbs and the relationship between herbs and symptoms for data mining of analogous prescriptions are discovered by analyzing the support, confidence and importance of the association-rules and the clinical magnificence between symptoms and herbs.关键词
栀子豉汤类方/配伍规律/关联规则/数据挖掘Key words
Zhizichi Decoction/compatibility law/association rules/data mining分类
医药卫生引用本文复制引用
朱靓贤,苏前敏,陈德兴,郭晶磊,小平..关联规则在栀子豉汤类方数据挖掘中的应用[J].中国中医药信息杂志,2015,(1):43-46,4.基金项目
国家中医药管理局中医药科学技术研究专项(06-07JP18)；上海市中医药事业发展三年行动计划重大研究项目(ZYSNXD-CC-ZDYJ041) （06-07JP18）
