Paper Info
Title
Semantic categories and relations for modelling adverse drug reactions towards a categorial structure for pharmacovigilance.
Abstract
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.
Year
Venue
Field
2008
AMIA
Health care,Ontology,MedDRA,Terminology,Information retrieval,Computer science,Coding (social sciences),Pharmacovigilance,Natural language processing,Artificial intelligence,Semantics,Statistical analysis
DocType
ISSN
Citations 
Conference
1942-597X
5
PageRank 
References 
Authors
0.65
0
4
Name
Order
Citations
PageRank
Cédric Bousquet110922.59
Béatrice Trombert2113.74
Anand Kumar316715.14
Jean Marie Rodrigues47422.79