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

RCTs - Protocols/Proposals (eHealth) (668)

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

Measuring Caloric Intake at the Population Level (NOTION): Protocol for an Experimental Study

Authors of this article:

Elisa Fuscà1 Author Orcid Image ;   Anna Bolzon1 Author Orcid Image ;   Alessia Buratin1 Author Orcid Image ;   Mariangela Ruffolo1 Author Orcid Image ;   Paola Berchialla2 Author Orcid Image ;   Dario Gregori1 Author Orcid Image ;   Egle Perissinotto1 Author Orcid Image ;   Ileana Baldi1 Author Orcid Image ;   NOTION Group3
Article Authors Cited by (5) Tweetations (2) Metrics

Journals

  1. 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
  2. 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
  3. Baldi I, Lanera C, Bhuyan M, Berchialla P, Vedovelli L, Gregori D. Classifying Food Items During an Eating Occasion: A Machine Learning Approach with Slope Dynamics for Windowed Kinetic Data. Foods 2025;14(2):276 View
  4. Bhuyan M, Vedovelli L, Lanera C, Gasparini D, Berchialla P, Baldi I, Gregori D. Analyzing the Caloric Variability of Bites in a Semi-Naturalistic Dietary Setting. Nutrients 2025;17(13):2192 View

Conference Proceedings

  1. Stolfi P, Valentini I, Palumbo M, Tieri P, Grignolio A, Castiglione F. 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices View