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 techniques can be appli...
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Main Authors: | Ruairi O'Driscoll (Author), Jake Turicchi (Author), Mark Hopkins (Author), Cristiana Duarte (Author), Graham W Horgan (Author), Graham Finlayson (Author), R James Stubbs (Author) |
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Format: | Book |
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JMIR Publications,
2021-08-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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