Exploring timely and safe discharge from ICU: a comparative study of machine learning predictions and clinical practices

Abstract Background The discharge practices from the intensive care unit exhibit heterogeneity and the recognition of eligible patients for discharge is often delayed. Recognizing the importance of safe discharge, which aims to minimize readmission and mortality, we developed a dynamic machine-learn...

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Auteurs principaux:	Chao Ping Wu, Rachel Benish Shirley, Alex Milinovich, Kaiyin Liu, Eduardo Mireles-Cabodevila, Hassan Khouli, Abhijit Duggal, Anirban Bhattacharyya
Format:	Artigo
Langue:	Inglês
Publié:	SpringerOpen 2025-01-01
Collection:	Intensive Care Medicine Experimental
Sujets:	Machine learning Critical care ICU discharge practice Decision support in ICU discharge
Accès en ligne:	https://doi.org/10.1186/s40635-025-00717-z
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