Machine learning models for predicting multimorbidity trajectories in middle-aged and elderly adults

Machine learning models for predicting multimorbidity trajectories in middle-aged and elderly adults

Abstract Multimorbidity has emerged as a significant public health issue in the context of global population aging. Predicting and managing the progression of multimorbidity in the elderly population is crucial. This study aims to develop predictive models for multimorbidity trajectories in middle-a...

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Bibliographic Details
Main Authors: Li Yao, Qiaoxing Li, Zihan Zhou, Jiajia Yin, Tingrui Wang, Yan Liu, Qinqin Li, Lu Xiao, Dongliang Yang
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Multimorbidity
Trajectory
Prediction model
Online Access:https://doi.org/10.1038/s41598-025-07060-z
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