title: Using UMLS metathesaurus concepts to describe medical images: dermatology vocabulary.
abstract: Web servers at the National Library of Medicine (NLM) displayed images of ten skin lesions to practicing dermatologists and provided an online form for capturing text they used to describe the pictures. The terms were submitted to the UMLS Metathesaurus (Meta). Concepts retrieved, their semantic types, definitions and synonyms, were returned to each subject in a second web-based form. Subjects rated the concepts against their own descriptive terms. They submitted 825 terms, 346 of which were unique and 300 mapped to UMLS concepts. The dermatologists rated 295 concepts as 'Exact Match' and they accomplished both tasks in about 30 min.
authors.affiliation: National Library of Medicine, Ackerman-Office of High Performance Computing and Communications, 38A/B1N30F1, Bethesda, MD 20894, USA. woodsj@mail.nlm.nih.gov
authors.forename: James W
authors.initials: JW
authors.lastname: Woods
authors.forename: Charles A
authors.initials: CA
authors.lastname: Sneiderman
authors.forename: Kamran
authors.initials: K
authors.lastname: Hameed
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Ackerman
authors.forename: Charlie
authors.initials: C
authors.lastname: Hatton
mesh_terms: D000043:Abstracting and Indexing; D003195:Computer Communication Networks; D003880:Dermatology; D006801:Humans; D012660:Semantics; D017432:Unified Medical Language System