Predicting 30-day in-hospital mortality in ICU asthma patients: a retrospective machine learning study with external validation

Predicting 30-day in-hospital mortality in ICU asthma patients: a retrospective machine learning study with external validation

Abstract Background Asthma-related mortality in the intensive care unit (ICU) remains poorly characterized, with no existing predictive models specifically designed for this high-risk population. This study aimed to develop and externally validate a machine learning–based model to predict 30-day in-...

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Bibliographic Details
Main Authors: Yuanshuo Ge, Guangdong Wang, Tingting Liu, Wenwen Ji, Jiaolin Sun, Yaxin Zhang
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Pulmonary Medicine
Subjects:
Asthma
Intensive care unit
Machine learning
Mortality prediction
XGBoost
Online Access:https://doi.org/10.1186/s12890-025-03881-w
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https://doi.org/10.1186/s12890-025-03881-w

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