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

Formative Evaluation of Digital Health Interventions (2197) JMIR Theme Issue: COVID-19 Special Issue (2388) Outbreak and Pandemic Preparedness and Management (1673) Machine Learning (1375) Anxiety and Stress Disorders (1003)

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
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Jungmann S, Gropalis M, Schenkel S, Witthöft M. Is cyberchondria specific to hypochondriasis?. Journal of Anxiety Disorders 2024;102:102798 View
  2. Meza E, Hapenciuc G, Philip M, Le J, Marek R. Impact of COVID-19 on the Self-Report Assessment of Obsessive-Compulsive Disorder. Cureus 2024 View
  3. Zanfir A, Marian G. Noi psihopatologii în era digitală: ortorexia şi cybercondria. Psihiatru.ro 2024;1(76):14 View