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

BACKGROUND: Accurate 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 techniques can be app...

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Detalles Bibliográficos
Autores principales: O'Driscoll, Ruairi, Turicchi, Jake, Hopkins, Mark, Duarte, Cristiana, Horgan, Graham W, Finlayson, Graham, Stubbs, R James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374660/
https://www.ncbi.nlm.nih.gov/pubmed/34346890
http://dx.doi.org/10.2196/23938

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374660/
https://www.ncbi.nlm.nih.gov/pubmed/34346890
http://dx.doi.org/10.2196/23938

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