Survival Forest Models for ICU Mortality Prediction Based on Nutrition and Clinical Factors

Objective: This study investigates the predictive role of nutritional factors and gastrointestinal dysfunction in determining mortality among critically ill patients admitted to the intensive care unit (ICU). Our goal is to enhance mortality prediction by incorporating detailed nutritional and clini...

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Detalhes bibliográficos

Principais autores:	Anat Goldstein, Chen Hajaj, Pierre Singer, Orit Raphaeli
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2026-01-01
coleção:	IEEE Access
Assuntos:	Critical care outcomes feature selection gastrointestinal dysfunction ICU mortality prediction machine learning nutritional factors
Acesso em linha:	https://ieeexplore.ieee.org/document/11318829/
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