A machine learning framework for predicting cognitive impairment in aging populations using urinary metal and demographic data

A machine learning framework for predicting cognitive impairment in aging populations using urinary metal and demographic data

IntroductionCognitive impairment in older adults poses a significant global public health concern, with environmental metal exposure emerging as a major risk factor. However, the combined effects of multiple metals and the modulatory roles of demographic variables remain insufficiently explored.Meth...

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Bibliographic Details
Main Authors: Fengchun Ren, Xiao Zhao, Qin Yang, Huaqiang Liao, Yudong Zhang, Xuemei Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Genetics
Subjects:
machine learning
cognitive impairment
metal
demographic
SHAP
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2025.1631228/full
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