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Machine Learning-Based Prediction of Critical Deterioration in the PICU

BACKGROUND:. Existing PICU early warning systems lack sufficient accuracy and timeliness for effective preparation. Machine learning approaches may improve prediction of critical deterioration events (CDEs), but their operational utility relative to existing tools remains unclear. OBJECTIVES:. To de...

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Principais autores: Sanjiv D. Mehta, MD, MSCE, Eamonn Tweedy, PhD, Victor M. Ruiz, PhD, Helen Lingyun Shi, MS, Ryan W. Morgan, MD, MSTR, Robert M. Sutton, MD, MSCE, Akira Nishisaki, MD, MSCE, Fuchiang (Rich) Tsui, PhD
פורמט: Artigo
שפה:Inglês
יצא לאור: Wolters Kluwer 2026-04-01
סדרה:Critical Care Explorations
גישה מקוונת:http://journals.lww.com/10.1097/CCE.0000000000001397
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