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

• 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)
• Format: Book
• Published: JMIR Publications, 2021-08-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...