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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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書誌詳細
主要な著者: Ong, Mei-Sing, Magrabi, Farah, Coiera, Enrico
フォーマット: Artigo
言語:Inglês
出版事項: BMJ Group 2012
主題:
オンライン・アクセス: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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