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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Autors principals:	Anat Goldstein, Chen Hajaj, Pierre Singer, Orit Raphaeli
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2026-01-01
Col·lecció:	IEEE Access
Matèries:	Critical care outcomes feature selection gastrointestinal dysfunction ICU mortality prediction machine learning nutritional factors
Accés en línia:	https://ieeexplore.ieee.org/document/11318829/
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