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Can Unified Medical Language System–based semantic representation improve automated identification of patient safety incident reports by type and severity?

OBJECTIVE: The study sought to evaluate the feasibility of using Unified Medical Language System (UMLS) semantic features for automated identification of reports about patient safety incidents by type and severity. MATERIALS AND METHODS: Binary support vector machine (SVM) classifier ensembles were...

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Detalhes bibliográficos
Publicado no:J Am Med Inform Assoc
Main Authors: Wang, Ying, Coiera, Enrico, Magrabi, Farah
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7566533/
https://ncbi.nlm.nih.gov/pubmed/32574362
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocaa082
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