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Automated identification of extreme-risk events in clinical incident reports
OBJECTIVES: To explore the feasibility of using statistical text classification to automatically detect extreme-risk events in clinical incident reports. METHODS: Statistical text classifiers based on Naïve Bayes and Support Vector Machine (SVM) algorithms were trained and tested on clinical inciden...
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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BMJ Group
2012
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3392867/ https://ncbi.nlm.nih.gov/pubmed/22237865 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2011-000562 |
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