Published on in Vol 8, No 3 (2019): March
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/12116, first published
.
![Measuring Caloric Intake at the Population Level (NOTION): Protocol for an Experimental Study Measuring Caloric Intake at the Population Level (NOTION): Protocol for an Experimental Study](https://asset.jmir.pub/assets/2d294b12221d411d4a81286f3d7d2612.png 480w,https://asset.jmir.pub/assets/2d294b12221d411d4a81286f3d7d2612.png 960w,https://asset.jmir.pub/assets/2d294b12221d411d4a81286f3d7d2612.png 1920w,https://asset.jmir.pub/assets/2d294b12221d411d4a81286f3d7d2612.png 2500w)
Journals
- Lorenzoni G, Bottigliengo D, Azzolina D, Gregori D. Food Composition Impacts the Accuracy of Wearable Devices When Estimating Energy Intake from Energy-Dense Food. Nutrients 2019;11(5):1170 View
- Stolfi P, Valentini I, Palumbo M, Tieri P, Grignolio A, Castiglione F. Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices. BMC Bioinformatics 2020;21(S17) View