Article

Development and interpretation of an XGBoost-based model for predicting prolonged ICU stay in patients with acute exacerbation of chronic obstructive pulmonary disease

2026-08-31

Abstract excerpt

<title>Abstract</title> <p> <bold>Background:</bold> Prolonged hospital length of stay (LOS) in AECOPD patients significantly increases healthcare resource consumption and economic burden, and there is an urgent need to develop early prediction tools based on admission metrics to optimize clinical decision-making. <h4>Objective:</h4> The aim of this study was to construct a prediction model based on indicators...

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Literature Corpus work: 74a917ee-c23b-575d-8feb-46ccf3f59374
DOI: 10.21203/rs.3.rs-10277166/v1

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Development and interpretation of an XGBoost-based model for predicting prolonged ICU stay in patients with acute exacerbation of chronic obstructive pulmonary diseaseDOI 10.21203/rs.3.rs-10277166/v1Read

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