Development and validation of an explainable machine learning model for predicting the risk of sleep disorders in older adults with multimorbidity: a cross-sectional study

Development and validation of an explainable machine learning model for predicting the risk of sleep disorders in older adults with multimorbidity: a cross-sectional study

ObjectiveTo develop and validate an explainable machine learning model for predicting the risk of sleep disorders in older adults with multimorbidity.MethodsA total of 471 older adults with multimorbidity were recruited between October and November 2024. We employed six machine learning (ML) methods...

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Bibliographic Details
Main Authors: Xia Wang, Dan Zhang, Liu Lu, Shujie Meng, Yong Li, Rong Zhang, Jingjie Zhou, Qian Yu, Li Zeng, Jiang Zhao, Yu Zeng, Ru Gao
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Public Health
Subjects:
machine learning
multimorbidity
older adults
sleep disorder
prediction model
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2025.1619406/full
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https://www.frontiersin.org/articles/10.3389/fpubh.2025.1619406/full

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