Bousquet Cédric, Trombert Béatrice, Kumar Anand, Rodrigues Jean-Marie
University of Saint Etienne, Department of Public Health and Medical Informatics,St Etienne; INSERM UMR_S 872, Eq 20, Paris, France.
AMIA Annu Symp Proc. 2008 Nov 6;2008:61-5.
WHO-ART and MedDRA are the terminologies used in pharmacovigilance for coding of adverse drug reactions and statistical analysis. In previous work we showed that tools for automated signal detection and access to pharmacovigilance databases would benefit from terminological reasoning in order to provide improved groupings of terms describing the same medical condition. Such reasoning depends on formal definitions that are absent in both terminologies. A Categorial structure is defined as a minimal set of health care domain constraints which represents a biomedical terminology in a precise healthcare domain. Here we present a draft for a lite ontological model consisting in 19 semantic categories and 16 relations for the representation of adverse drug reactions. From this model we selected 8 semantic categories for the categorial structure. This study was restricted to WHO-ART and additional research is required in order to provide complete coverage of MedDRA.
世界卫生组织药品不良反应术语集（WHO-ART）和国际医学用语词典（MedDRA）是药物警戒中用于对药品不良反应进行编码和统计分析的术语集。在之前的工作中，我们表明，自动信号检测工具和对药物警戒数据库的访问将受益于术语推理，以便对描述相同医疗状况的术语进行更好的分组。这种推理依赖于这两种术语集中都不存在的形式化定义。范畴结构被定义为一组最小的医疗保健领域约束，它在精确的医疗保健领域中表示一种生物医学术语。在此，我们提出了一个轻量级本体模型草案，该模型由19个语义类别和16种关系组成，用于表示药品不良反应。我们从这个模型中为范畴结构选择了8个语义类别。本研究仅限于WHO-ART，为了全面涵盖MedDRA，还需要进行更多研究。
