Literature DB >> 16324910

Using UMLS metathesaurus concepts to describe medical images: dermatology vocabulary.

James W Woods1, Charles A Sneiderman, Kamran Hameed, Michael J Ackerman, Charlie Hatton.   

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.

Mesh:

Year:  2006        PMID: 16324910     DOI: 10.1016/j.compbiomed.2004.08.003

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  3 in total

1.  Associating clinical archetypes through UMLS Metathesaurus term clusters.

Authors:  Leonardo Lezcano; Salvador Sánchez-Alonso; Miguel-Angel Sicilia
Journal:  J Med Syst       Date:  2010-09-09       Impact factor: 4.460

2.  Semantic classification of biomedical concepts using distributional similarity.

Authors:  Jung-Wei Fan; Carol Friedman
Journal:  J Am Med Inform Assoc       Date:  2007-04-25       Impact factor: 4.497

3.  Modeling eye movement patterns to characterize perceptual skill in image-based diagnostic reasoning processes.

Authors:  Rui Li; Pengcheng Shi; Jeff Pelz; Cecilia O Alm; Anne R Haake
Journal:  Comput Vis Image Underst       Date:  2016-09-21       Impact factor: 4.886

  3 in total

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