Work

An evolutionary approach to the representation of adverse events.

Year: 2009

Type: article

Abstract: One way to detect, monitor and prevent adverse events with the help of Information Technology is by using ontologies capable of representing three levels of reality: what is the case, what is believed about reality, and what is represented. We report on how Basic Formal Ontology and Referent Tracking exhibit this capability and how they are used to develop an adverse event ontology and related data annotation scheme for the European ReMINE project.

Source: PubMed

Authors: Werner Ceusters, Maria Capolupo, Barry Smith, Georges De Moor

Institution: University at Buffalo, State University of New York

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Human Genome Research Institute

Award: National Center for Biomedical Ontology