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...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Siqi Jiang, Lingyu Xu, Chenyu Li, Xinyuan Wang, Chen Guan, Yanfei Wang, Lin Che, Xuefei Shen, Yan Xu
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	BMC 2025-07-01
سلاسل:	European Journal of Medical Research
الموضوعات:	Gout Acute kidney disease Acute kidney injury Machine learning Risk prediction
الوصول للمادة أونلاين:	https://doi.org/10.1186/s40001-025-02939-z
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!