Machine learning approaches to predict age from accelerometer records of physical activity at biobank scale

Machine learning approaches to predict age from accelerometer records of physical activity at biobank scale

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Physical activity improves quality of life and protects against age-related diseases. With age, physical activity tends to decrease, increasing vulnerability to disease in the elderly. In the following, we trained a neural network to predict age from 115,456 one week-long 100Hz wrist accelerometer r...

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Bibliographic Details
Main Authors: Alan Le Goallec, Sasha Collin, M’Hamed Jabri, Samuel Diai, Théo Vincent, Chirag J. Patel
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLOS Digital Health
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931315/?tool=EBI

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931315/?tool=EBI

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