Garcelon Nicolas, Mougin Fleur, Bousquet Cédric, Burgun Anita
EA 3888, Faculté de Médecine, IFR 140, Université de Rennes, France.
Stud Health Technol Inform. 2006;124:528-33.
Literature, specifically MEDLINE, is among the main sources of information used to detect whether a drug may be responsible for Adverse Drug Reactions cases. The aim of our work is to automate the search of publications that correspond to a given Adverse Drug Reactions case: (i) by defining a general pattern for the queries used to search MEDLINE and (ii) by determining the threshold number of publications capable to confirm or infirm the Adverse Drug Reaction. We applied our algorithm to a set of 620 cases from a French pharmacovigilance database. We obtained a precision of 93%, recall 70%. We determined a threshold of 3 publications to confirm an Adverse Drug Reaction case.
文献，特别是医学文献数据库（MEDLINE），是用于检测某种药物是否可能导致药物不良反应病例的主要信息来源之一。我们工作的目的是实现对与给定药物不良反应病例相对应的出版物搜索自动化：（i）通过为用于搜索MEDLINE的查询定义通用模式，以及（ii）通过确定能够证实或否定药物不良反应的出版物阈值数量。我们将算法应用于来自法国药物警戒数据库的620个病例集。我们获得了93%的精确率和70%的召回率。我们确定了3篇出版物的阈值来证实药物不良反应病例。
