Identification of progression-related genes and construction of prognostic model for chronic kidney disease by machine learning

BackgroundEarly diagnosis and intervention for chronic kidney disease (CKD) can significantly improve patient’s quality of life and prognosis. Besides routine laboratory indicators and medical history, risk prediction models can predict CKD outcome. However, there is currently a lack of CKD prognost...

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Bibliographic Details

Published in:	Frontiers in Cell and Developmental Biology
Main Authors:	Bingkun Zhou, Hu Zhou, Xiaodong Huang, Shijie Liu
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-08-01
Subjects:	chronic kidney disease bioinformatics transcriptomics machine learning predictive model
Online Access:	https://www.frontiersin.org/articles/10.3389/fcell.2025.1627355/full