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Using UMLS Lexical Resources to Disambiguate Abbreviations in Clinical Text

Clinical text is rich in acronyms and abbreviations, and they are highly ambiguous. As a pre-processing step before subsequent NLP analysis, we are developing and evaluating clinical abbreviation disambiguation methods. The evaluation of two sequential steps, the detection and the disambiguation of...

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Bibliografiset tiedot
Päätekijät: Kim, Youngjun, Hurdle, John, Meystre, Stéphane M.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: American Medical Informatics Association 2011
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Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC3243121/
https://ncbi.nlm.nih.gov/pubmed/22195128
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