A machine learning model for predicting short‐term outcomes after rapid response system activation

Maintaining rapid response team (RRT) response quality is difficult. A system that supports RRT assessment could potentially contribute to medical safety. Although rapid response system (RRS) triggers have been well-studied, studies on the prediction models of short-term prognosis after RRS activati...

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Veröffentlicht in:	Acute medicine & surgery Jg. 12; H. 1; S. e70083
Hauptverfasser:	Naito, Takaki, Li, Micheal, Fujitani, Shigeki
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States John Wiley & Sons, Inc 12.08.2025 John Wiley and Sons Inc
Schlagworte:	Algorithms Artificial intelligence Blood pressure Consciousness Hospitals Machine learning Original Patient safety Variables United States > US Japan medical emergency team rapid response system machine learning early warning score
ISSN:	2052-8817, 2052-8817
Online-Zugang:	Volltext
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