Predicting rapid kidney function decline in middle-aged and elderly Chinese adults using machine learning techniques

Predicting rapid kidney function decline in middle-aged and elderly Chinese adults using machine learning techniques

Abstract The rapid decline of kidney function in middle-aged and elderly people has become an increasingly serious public health problem. Machine learning (ML) technology has substantial potential to disease prediction. The present study use dataset from the Chinese Health and Retirement Longitudina...

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Bibliographic Details
Main Authors: Yang Li, Kun Zou, Yixuan Wang, Yucheng Zhang, Jingtao Zhong, Wu Zhou, Fang Tang, Lu Peng, Xusheng Liu, Lili Deng
Format: Article
Language:English
Published: BMC 2025-06-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Machine learning
XGBoost
Rapid renal function decline
Prediction model
Middle-aged and elderly population
SHAP
Online Access:https://doi.org/10.1186/s12911-025-03043-2
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https://doi.org/10.1186/s12911-025-03043-2

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