Development and deployment of a nationwide predictive model for chronic kidney disease progression in diabetic patients

Development and deployment of a nationwide predictive model for chronic kidney disease progression in diabetic patients

AimChronic kidney disease (CKD) is a major complication of diabetes and a significant disease burden on the healthcare system. The aim of this work was to apply a predictive model to identify high-risk patients in the early stages of CKD as a means to provide early intervention to avert or delay kid...

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Bibliographic Details
Main Authors: Zhiyan Fu, Zhiyu Wang, Karen Clemente, Mohit Jaisinghani, Ken Mei Ting Poon, Anthony Wee Teo Yeo, Gia Lee Ang, Adrian Liew, Chee Kong Lim, Marjorie Wai Yin Foo, Wai Leng Chow, Wee An Ta
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Nephrology
Subjects:
chronic kidney disease
CKD progression
diabetes
kidney function deterioration
machine learning
prediction
Online Access:https://www.frontiersin.org/articles/10.3389/fneph.2023.1237804/full

Internet

https://www.frontiersin.org/articles/10.3389/fneph.2023.1237804/full

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