Machine learning-based predictive model for acute pancreatitis-associated lung injury: a retrospective analysis

Machine learning-based predictive model for acute pancreatitis-associated lung injury: a retrospective analysis

BackgroundAcute Pancreatitis-Associated Lung Injury (APALI) is one of the most severe and life-threatening systemic complications in acute pancreatitis patients, with high rates of morbidity and mortality. This study aims to develop a prediction model for the diagnosis of APALI based on machine lear...

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Bibliographic Details
Main Authors: Zhaohui Du, Qiaoling Ying, Yisen Yang, Huicong Ma, Hongchang Zhao, Jie Yang, Zhenjie Wang, Chuanming Zheng, Shurui Wang, Qiang Tang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Medicine
Subjects:
prediction model
machine learning
SHAP
acute pancreatitis (AP)
lung injury
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1638097/full
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https://www.frontiersin.org/articles/10.3389/fmed.2025.1638097/full

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