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An empirically derived taxonomy of errors in SNOMED CT

Ontologies underpin methods throughout biomedicine and biomedical informatics. However, as ontologies increase in size and complexity, so does the likelihood that they contain errors. Effective methods that identify errors are typically manual and expert-driven; however, automated methods are essent...

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Publicat a:AMIA Annu Symp Proc
Autors principals: Mortensen, Jonathan M., Musen, Mark A., Noy, Natalya F.
Format: Artigo
Idioma:Inglês
Publicat: American Medical Informatics Association 2014
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC4419962/
https://ncbi.nlm.nih.gov/pubmed/25954397
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