药品不良反应信号检测中的关联规则  

Association Rules in the Surveillance of Adverse Drug Reaction Signals Detection

作　　者：王超[1] 叶小飞[1] 钱维[1] 贺佳[1] 

机构地区：[1]第二军医大学卫生勤务系卫生统计学教研室,上海200433

出　　处：《中国药物警戒》2010年第3期145-147,共3页Chinese Journal of Pharmacovigilance

基　　金：国家自然科学基金资助项目(No.30872186);上海市优秀学科带头人计划(A类)(No.09XD1405500)

摘　　要：药品不良反应信号检测已成为药物警戒的重要内容。随着自发呈报系统应用的成熟,对数据库中的知识发现的要求也逐渐提高。通过分析目前常用信号检测方法的缺陷,介绍关联规则的概念与算法,探讨其在药品不良反应监测中数据挖掘的可行性与独特优势。The signals detection of adverse drug reaction is playing an important part in the pharmacovigilance. With the development of spontaneous reporting（ADR） system, requirements of the knowledge discovery in database are also gradually increased. The article introduces the shortcomings of the other data mining methods and data mining method of the association rules. By introduce the concepts and algorithms of the association rules, investigate the feasibility of application and the unique advantage in surveillance of the ADR.

关 键 词：关联规则 信号检测 药品不良反应 

分 类 号：R95[医药卫生—药学] R994.11