Declerck Gunnar, Bousquet Cédric, Jaulent Marie-Christine
Université Paris Descartes, France.
Stud Health Technol Inform. 2012;180:73-7.
In the context of PROTECT European project, we have developed an ontology of adverse drug reactions (OntoADR) based on the original MedDRA hierarchy and a query-based method to achieve automatic MedDRA terms groupings for improving pharmacovigilance signal detection. Those groupings were evaluated against standard handmade MedDRA groupings corresponding to first priority pharmacovigilance safety topics. Our results demonstrate that this automatic method allows catching most of the terms present in the reference groupings, and suggest that it could offer an important saving of time for the achievement of pharmacovigilance groupings. This paper describes the theoretical context of this work, the evaluation methodology, and presents the principal results.
在“保护欧洲”项目的背景下，我们基于原始的MedDRA层次结构开发了一种药物不良反应本体（OntoADR）以及一种基于查询的方法，以实现MedDRA术语的自动分组，从而改进药物警戒信号检测。这些分组是根据与首要药物警戒安全主题相对应的标准手工制作的MedDRA分组进行评估的。我们的结果表明，这种自动方法能够捕捉参考分组中存在的大多数术语，并表明它可为实现药物警戒分组节省大量时间。本文描述了这项工作的理论背景、评估方法，并展示了主要结果。
