Machine learning approaches to predict age from accelerometer records of physical activity at biobank scale.
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...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2023-01-01
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Series: | PLOS Digital Health |
Online Access: | https://doi.org/10.1371/journal.pdig.0000176 |
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Machine learning approaches to predict age from accelerometer records of physical activity at biobank scale
Published 2023-01-01
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