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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2020
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| 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 |