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Generation and Evaluation of Intraoperative Inferences for Automated Health Care Briefings on Patient Status After Bypass Surgery

Objective: The authors present a system that scans electronic records from cardiac surgery and uses inference rules to identify and classify abnormal events (e.g., hypertension) that may occur during critical surgical points (e.g., start of bypass). This vital information is used as the content of a...

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書誌詳細
主要な著者: Jordan, Desmond A., McKeown, Kathleen R., Concepcion, Kristian J., Feiner, Steven K., Hatzivassiloglou, Vasileios
フォーマット: Artigo
言語:Inglês
出版事項: American Medical Informatics Association 2001
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オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC131034/
https://ncbi.nlm.nih.gov/pubmed/11320071
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