ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2008
Semantic categories and relations for modelling adverse drug reactions towards a categorial structure for pharmacovigilance.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- eVITAL: a preliminary taxonomy and electronic toolkit of health-related habits and lifestyle.TheScientificWorldJournal · 2012Article
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Authors and funding
4 authors.
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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.
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Identifiers
18998982PMC2656068What OpenQuestion holds
Registered trials
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