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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Autors principals: Jordan, Desmond A., McKeown, Kathleen R., Concepcion, Kristian J., Feiner, Steven K., Hatzivassiloglou, Vasileios
Format: Artigo
Idioma:Inglês
Publicat: American Medical Informatics Association 2001
Matèries:
Original Investigations
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC131034/
https://ncbi.nlm.nih.gov/pubmed/11320071
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