Risk prediction for acute kidney disease and adverse outcomes in patients with chronic obstructive pulmonary disease: an interpretable machine learning approach

Risk prediction for acute kidney disease and adverse outcomes in patients with chronic obstructive pulmonary disease: an interpretable machine learning approach

Background Little is known about acute kidney injury (AKI) and acute kidney disease (AKD) in patients with chronic obstructive pulmonary disease (COPD) and COPD mortality based on the acute/subacute renal injury. This study develops machine learning models to predict AKI, AKD, and mortality in COPD...

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Bibliographic Details
Main Authors: Siqi Jiang, Lingyu Xu, Xinyuan Wang, Chenyu Li, Chen Guan, Lin Che, Yanfei Wang, Xuefei Shen, Yan Xu
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Renal Failure
Subjects:
Acute kidney disease
acute kidney injury
chronic obstructive pulmonary disease
machine learning
mortality
predictive model
Online Access:https://www.tandfonline.com/doi/10.1080/0886022X.2025.2485475
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https://www.tandfonline.com/doi/10.1080/0886022X.2025.2485475

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