Machine learning models to predict end-stage kidney disease in chronic kidney disease stage 4

Machine learning models to predict end-stage kidney disease in chronic kidney disease stage 4

Abstract Introduction End-stage kidney disease (ESKD) is associated with increased morbidity and mortality. Identifying patients with stage 4 CKD (CKD4) at risk of rapid progression to ESKD remains challenging. Accurate prediction of CKD4 progression can improve patient outcomes by improving advance...

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Bibliographic Details
Main Authors: Kullaya Takkavatakarn, Wonsuk Oh, Ella Cheng, Girish N Nadkarni, Lili Chan
Format: Article
Language:English
Published: BMC 2023-12-01
Series:BMC Nephrology
Subjects:
Chronic Kidney Disease
End-stage Kidney Disease
Machine learning
Artificial intelligence
Prediction model
Online Access:https://doi.org/10.1186/s12882-023-03424-7

Internet

https://doi.org/10.1186/s12882-023-03424-7

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