Development and validation of risk prediction models for acute kidney disease in gout patients: a retrospective study using machine learning

Development and validation of risk prediction models for acute kidney disease in gout patients: a retrospective study using machine learning

Abstract Background Limited research has been conducted on the prevalence of acute kidney injury (AKI) and acute kidney disease (AKD) in gout patients, as well as the impact of these renal complications on patient outcomes. This study aims to develop machine learning models to predict AKI and AKD in...

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Bibliographic Details
Main Authors: Siqi Jiang, Lingyu Xu, Chenyu Li, Xinyuan Wang, Chen Guan, Yanfei Wang, Lin Che, Xuefei Shen, Yan Xu
Format: Article
Language:English
Published: BMC 2025-07-01
Series:European Journal of Medical Research
Subjects:
Gout
Acute kidney disease
Acute kidney injury
Machine learning
Risk prediction
Online Access:https://doi.org/10.1186/s40001-025-02939-z
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https://doi.org/10.1186/s40001-025-02939-z

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