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

Formative Evaluation of Digital Health Interventions (2425) JMIR Theme Issue: COVID-19 Special Issue (2453) Outbreak and Pandemic Preparedness and Management (1729) Machine Learning (1473) Anxiety and Stress Disorders (1056)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42206, first published .
Predictors of Cyberchondria During the COVID-19 Pandemic: Cross-sectional Study Using Supervised Machine Learning

Predictors of Cyberchondria During the COVID-19 Pandemic: Cross-sectional Study Using Supervised Machine Learning

Predictors of Cyberchondria During the COVID-19 Pandemic: Cross-sectional Study Using Supervised Machine Learning

Authors of this article:

Alexandre Infanti1 Author Orcid Image ;   Vladan Starcevic2, 3 Author Orcid Image ;   Adriano Schimmenti4 Author Orcid Image ;   Yasser Khazaal5, 6, 7 Author Orcid Image ;   Laurent Karila8 Author Orcid Image ;   Alessandro Giardina9 Author Orcid Image ;   Maèva Flayelle9 Author Orcid Image ;   Seyedeh Boshra Hedayatzadeh Razavi9 Author Orcid Image ;   Stéphanie Baggio10, 11 Author Orcid Image ;   Claus Vögele1 Author Orcid Image ;   Joël Billieux5, 9 Author Orcid Image
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