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Influenza detection from emergency department reports using natural language processing and Bayesian network classifiers
OBJECTIVES: To evaluate factors affecting performance of influenza detection, including accuracy of natural language processing (NLP), discriminative ability of Bayesian network (BN) classifiers, and feature selection. METHODS: We derived a testing dataset of 124 influenza patients and 87 non-influe...
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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BMJ Publishing Group
2014
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4147621/ https://ncbi.nlm.nih.gov/pubmed/24406261 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2013-001934 |
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