PMID: 9524353Apr 3, 1998Paper

Evaluation of a "lexically assign, logically refine" strategy for semi-automated integration of overlapping terminologies

Journal of the American Medical Informatics Association : JAMIA
R H DolinK E Campbell

Abstract

To evaluate a "lexically assign, logically refine" (LALR) strategy for merging overlapping healthcare terminologies. This strategy combines description logic classification with lexical techniques that propose initial term definitions. The lexically suggested initial definitions are manually refined by domain experts to yield description logic definitions for each term in the overlapping terminologies of interest. Logic-based techniques are then used to merge defined terms. A LALR strategy was applied to 7,763 LOINC and 2,050 SNOMED procedure terms using a common set of defining relationships taken from the LOINC data model. Candidate value restrictions were derived by lexically comparing the procedure's name with other terms contained in the reference SNOMED topography, living organism, function, and chemical axes. These candidate restrictions were reviewed by a domain expert, transformed into terminologic definitions for each of the terms, and then algorithmically classified. The authors successfully defined 5,724 (73%) LOINC and 1,151 (56%) SNOMED procedure terms using a LALR strategy. Algorithmic classification of the defined concepts resulted in an organization mirroring that of the reference hierarchies. The classificatio...Continue Reading

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May 1, 1996·Journal of the American Medical Informatics Association : JAMIA·C G ChuteJ R Campbell

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Citations

Feb 28, 2009·BMC Bioinformatics·Isaac KunzLewis Frey
Feb 28, 2006·Journal of the American Medical Informatics Association : JAMIA·Jennifer Y Sun, Yao Sun
May 3, 2013·Journal of the American Medical Informatics Association : JAMIA·Pierre-Yves VandenbusscheEric Lepage
Aug 15, 2014·Informatics for Health & Social Care·Tae Youn Kim
Jun 16, 2004·Journal of Biomedical Informatics·Yao Sun

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