title: Building medical ontologies by terminology extraction from texts: an experiment for the intensive care units.
abstract: In many medical fields, maintenance, comparison and aggregation of unambiguous terminologies go through formal specialized clinical terminologies: ontologies. We describe a methodology to build medical ontology from textual reports using a natural language processing tool, the SYNTEX software. The methodology is illustrated in the surgical intensive care medical domain. We have tested the possibility for an expert to build a sizeable ontology in a reasonable time. The quality of the ontology has been evaluated according to its capacity to cover the ICD-10 terminology in the field. Finally, the methodology itself is discussed.
authors.affiliation: INSERM, U729, F-75006 Paris, France. jean.charlet@spim.jussieu.fr
authors.forename: Jean
authors.initials: J
authors.lastname: Charlet
authors.forename: Bruno
authors.initials: B
authors.lastname: Bachimont
authors.forename: Marie-Christine
authors.initials: MC
authors.lastname: Jaulent
mesh_terms: D006801:Humans; D007362:Intensive Care Units; D008490:Medical Informatics; D009323:Natural Language Processing; D012660:Semantics; D012984:Software; D009626:Terminology as Topic; D018875:Vocabulary, Controlled