Predicting mortality risk in Alzheimer’s disease using machine learning based on lifestyle and physical activity

Predicting mortality risk in Alzheimer’s disease using machine learning based on lifestyle and physical activity

Abstract Alzheimer’s disease (AD), a progressive neurodegenerative disorder, significantly impacts patient survival, prompting the need for accurate prognostic tools. Lifestyle factors and physical activity levels have been identified as critical modifiable risk factors influencing AD outcomes, but...

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Bibliographic Details
Main Authors: Ruihong Tang, Liang Tan, Xia Chen, Zhengwu Shan, Zhao Zhang, Panpan Cheng
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Alzheimer’s disease mortality
Machine learning prediction
Lifestyle factors in AD
Physical activity and dementia
Survival analysis models
Online Access:https://doi.org/10.1038/s41598-025-11819-9
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https://doi.org/10.1038/s41598-025-11819-9

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