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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Detalles Bibliográficos
Autores principales: Wang, Ying, Coiera, Enrico, Magrabi, Farah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566533/
https://www.ncbi.nlm.nih.gov/pubmed/32574362
http://dx.doi.org/10.1093/jamia/ocaa082

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566533/
https://www.ncbi.nlm.nih.gov/pubmed/32574362
http://dx.doi.org/10.1093/jamia/ocaa082

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