Comparison of the Validity and Generalizability of Machine Learning Algorithms for the Prediction of Energy Expenditure: Validation Study

BackgroundAccurate solutions for the estimation of physical activity and energy expenditure at scale are needed for a range of medical and health research fields. Machine learning techniques show promise in research-grade accelerometers, and some evidence indicates that these...

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Bibliographic Details
Main Authors: Ruairi O'Driscoll, Jake Turicchi, Mark Hopkins, Cristiana Duarte, Graham W Horgan, Graham Finlayson, R James Stubbs
Format: Article
Language:English
Published: JMIR Publications 2021-08-01
Series:JMIR mHealth and uHealth
Online Access:https://mhealth.jmir.org/2021/8/e23938