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

Machine Learning (2313) mHealth for Data Collection and Research (1288) Obesity and Nutrition as Public Health Problem (456) Instruments and Questionnaires for Nutrition and Food Intake (232) Data Science (407)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57530, first published .
Person logging into Snack Tracker app on phone near lunchbox with snacks

Prediction of Snacking Behavior Involving Snacks Having High Levels of Saturated Fats, Salt, or Sugar Using Only Information on Previous Instances of Snacking: Survey- and App-Based Study

Prediction of Snacking Behavior Involving Snacks Having High Levels of Saturated Fats, Salt, or Sugar Using Only Information on Previous Instances of Snacking: Survey- and App-Based Study

Authors of this article:

Shaima Dammas1 Author Orcid Image ;   Tillman Weyde2 Author Orcid Image ;   Katy Tapper3 Author Orcid Image ;   Gerasimos Spanakis4 Author Orcid Image ;   Anne Roefs5 Author Orcid Image ;   Emmanuel M Pothos3 Author Orcid Image
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Shaima Dammas   1 , PhD ;   Tillman Weyde   2 , PhD ;   Katy Tapper   3 , PhD ;   Gerasimos Spanakis   4 , PhD ;   Anne Roefs   5 , PhD ;   Emmanuel M Pothos   3 , PhD

1 Department of Health Services and Hospitals Administration, King AbdulAziz University, Jeddah, Saudi Arabia

2 Department of Computer Science, City, University of London, London, United Kingdom

3 Department of Psychology, City, University of London, London, United Kingdom

4 Department of Advanced Computing Sciences, Maastricht University, Maastricht, The Netherlands

5 Faculty of Psychology & Neuroscience, Maastricht University, Maastricht, The Netherlands

Corresponding Author:

  • Shaima Dammas, PhD
  • Department of Health Services and Hospitals Administration
  • King AbdulAziz University
  • PO Box 80200
  • 67 Administration Street
  • Jeddah 21589
  • Saudi Arabia
  • Phone: 966 126952951
  • Email: smalghamdi2@kau.edu.sa