This paper is in the following e-collection/theme issue:

Theme Issue 2020: Using Artificial Intelligence and Machine Learning to Improve E-health and M- health (1) Wearable Devices and Sensors (702) mHealth for Data Collection and Research (744) Fitness Trackers and Smart Pedometers/Accelerometers (506) Machine Learning (1121) Artificial Intelligence (822) Innovations and Technology for Physical Activity Education (593)

Published on in Vol 9 , No 8 (2021) :August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23938, first published .
Comparison of the Validity and Generalizability of Machine Learning Algorithms for the Prediction of Energy Expenditure: Validation Study

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

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

Authors of this article:

Ruairi O'Driscoll 1 Author Orcid Image ;   Jake Turicchi 1 Author Orcid Image ;   Mark Hopkins 2 Author Orcid Image ;   Cristiana Duarte 1 Author Orcid Image ;   Graham W Horgan 3 Author Orcid Image ;   Graham Finlayson 1 Author Orcid Image ;   R James Stubbs 1 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Dakin C, Beaulieu K, Hopkins M, Gibbons C, Finlayson G, Stubbs R. Do eating behavior traits predict energy intake and body mass index? A systematic review and meta‐analysis. Obesity Reviews 2023;24(1) View
  2. Perrett T, Masullo A, Damen D, Burghardt T, Craddock I, Mirmehdi M. Personalized Energy Expenditure Estimation: Visual Sensing Approach With Deep Learning. JMIR Formative Research 2022;6(9):e33606 View
  3. Fernandes G, Choi A, Schauer J, Pfammater A, Spring B, Darwiche A, Alshurafa N. PRIMO, an Explainable Artificial Intelligence Software Tool for Weight Management Experts: Design and Usability Study (Preprint). Journal of Medical Internet Research 2022 View