Development and external validation of machine learning models for the early prediction of malnutrition in critically ill patients: a prospective observational study

Development and external validation of machine learning models for the early prediction of malnutrition in critically ill patients: a prospective observational study

Abstract Background Early detection of malnutrition in critically ill patients is crucial for timely intervention and improved clinical outcomes. However, identifying individuals at risk remains challenging due to the complexity and variability of patient conditions. This study aimed to develop and...

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Bibliographic Details
Main Authors: Yi Liu, Yehua Xu, Lixia Guo, Zhongbin Chen, Xueqin Xia, Feng Chen, Li Tang, Hua Jiang, Caixia Xie
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Critically ill patients
Malnutrition
Machine learning
Prediction model
Online Access:https://doi.org/10.1186/s12911-025-03082-9
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