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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Veröffentlicht in:J Am Med Inform Assoc
Hauptverfasser: Wang, Ying, Coiera, Enrico, Magrabi, Farah
Format: Artigo
Sprache:Inglês
Veröffentlicht: Oxford University Press 2020
Schlagworte:
Research and Applications
Online Zugang: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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