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

Mental Health Surveillance and Epidemiology (36) JMIR Theme Issue: COVID-19 Special Issue (2238) Depression and Mood Disorders; Suicide Prevention (1128) Anxiety and Stress Disorders (879) Outbreak and Pandemic Preparedness and Management (1528) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (354) Infectious Diseases (non-STD/STI) (1288) e-Mental Health and Cyberpsychology (1112) Machine Learning (1121) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1385)

Published on in Vol 8 , No 11 (2021) :November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32876, first published .
Machine Learning–Based Predictive Modeling of Anxiety and Depressive Symptoms During 8 Months of the COVID-19 Global Pandemic: Repeated Cross-sectional Survey Study

Machine Learning–Based Predictive Modeling of Anxiety and Depressive Symptoms During 8 Months of the COVID-19 Global Pandemic: Repeated Cross-sectional Survey Study

Machine Learning–Based Predictive Modeling of Anxiety and Depressive Symptoms During 8 Months of the COVID-19 Global Pandemic: Repeated Cross-sectional Survey Study

Authors of this article:

Katrina Hueniken 1, 2 Author Orcid Image ;   Nibene Habib Somé 2, 3, 4, 5, 6 Author Orcid Image ;   Mohamed Abdelhack 1 Author Orcid Image ;   Graham Taylor 7, 8 Author Orcid Image ;   Tara Elton Marshall 2, 3, 4, 6, 9, 10 Author Orcid Image ;   Christine M Wickens 2, 3, 4, 11, 12 Author Orcid Image ;   Hayley A Hamilton 2, 3, 4 Author Orcid Image ;   Samantha Wells 2, 3, 4, 6, 13, 14 Author Orcid Image ;   Daniel Felsky 1, 13, 15, 16 Author Orcid Image
Article Authors Cited by (8) Tweetations (6) Metrics

Journals

  1. Raheja S. Analysis of Psychological Distress During COVID-19 Among Professionals. International Journal of Software Innovation 2022;10(1):1 View
  2. Majcherek D, Kowalski A, Lewandowska M. Lifestyle, Demographic and Socio-Economic Determinants of Mental Health Disorders of Employees in the European Countries. International Journal of Environmental Research and Public Health 2022;19(19):11913 View
  3. Shen N, Kassam I, Chen S, Ma C, Wang W, Boparai N, Jankowicz D, Strudwick G. Canadian perspectives of digital mental health supports: Findings from a national survey conducted during the COVID-19 pandemic. DIGITAL HEALTH 2022;8:205520762211022 View
  4. Rastpour A, McGregor C. Predicting Patient Wait Times by Using Highly Deidentified Data in Mental Health Care: Enhanced Machine Learning Approach. JMIR Mental Health 2022;9(8):e38428 View
  5. Costa W, Pinheiro P, dos Santos N, Cabral L. Aligning the Goals Hybrid Model for the Diagnosis of Mental Health Quality. Sustainability 2023;15(7):5938 View
  6. Zhou C, Wheelock Å, Zhang C, Ma J, Dong K, Pan J, Li Z, Liang W, Gao J, Xu L. The role of booster vaccination in decreasing COVID-19 age-adjusted case fatality rate: Evidence from 32 countries. Frontiers in Public Health 2023;11 View

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  1. Ismail D, Hastings P. Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. View
  2. Patel S, Pundge A, Zebanaaz S, Akther N. Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022). View