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

Formative Evaluation of Digital Health Interventions (3229) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2111) Natural Language Processing (917) Mobile Health in Psychiatry (527)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38831, first published .
Content Recommendation Systems in Web-Based Mental Health Care: Real-world Application and Formative Evaluation

Content Recommendation Systems in Web-Based Mental Health Care: Real-world Application and Formative Evaluation

Content Recommendation Systems in Web-Based Mental Health Care: Real-world Application and Formative Evaluation

Authors of this article:

Akhil Chaturvedi1 Author Orcid Image ;   Brandon Aylward1 Author Orcid Image ;   Setu Shah1 Author Orcid Image ;   Grant Graziani1 Author Orcid Image ;   Joan Zhang1 Author Orcid Image ;   Bobby Manuel1 Author Orcid Image ;   Emmanuel Telewa1 Author Orcid Image ;   Stefan Froelich1 Author Orcid Image ;   Olalekan Baruwa1 Author Orcid Image ;   Prathamesh Param Kulkarni1 Author Orcid Image ;   Watson Ξ1 Author Orcid Image ;   Sarah Kunkle1 Author Orcid Image
Article Authors Cited by (13) Tweetations (7) Metrics

Journals

  1. Shafiee S. Unveiling the Latest Trends and Advancements in Machine Learning Algorithms for Recommender Systems: A Literature Review. Procedia CIRP 2024;121:115 View
  2. Matthews P, Rhodes-Maquaire C. Personalisation and Recommendation for Mental Health Apps: A Scoping Review. Behaviour & Information Technology 2025;44(10):2389 View
  3. Wang X, Hu B. Machine Learning Algorithms for Improved Product Design User Experience. IEEE Access 2024;12:112810 View
  4. Barbaric A, Christofferson K, Benseler S, Lalloo C, Mariakakis A, Pham Q, Swart J, Yeung R, Cafazzo J. Health recommender systems to facilitate collaborative decision-making in chronic disease management: A scoping review. DIGITAL HEALTH 2025;11 View
  5. Varidel M, An V, Hickie I, Cripps S, Marchant R, Scott J, Crouse J, Poulsen A, O'Dea B, McKenna S, Iorfino F. Causal AI Recommendation System for Digital Mental Health: Bayesian Decision-Theoretic Analysis. Journal of Medical Internet Research 2025;27:e71305 View
  6. Kryvoshyya M, Andrunyk V. Modeling a mental health support recommendation system. Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì 2025;17:382 View
  7. Yousefi F, Naye F, Ouellet S, Yameogo A, Sasseville M, Bergeron F, Ozkan M, Cousineau M, Amil S, Rhéaume C, Gagnon M. Artificial Intelligence in Health Promotion and Disease Reduction: Rapid Review. Journal of Medical Internet Research 2025;27:e70381 View
  8. Wu Y, Han S, Shan S, Xie X, Li D, Zhang L, Wang Z. Development of a peer support and precision matching mobile platform for health management for people living with HIV. International Journal of Nursing Sciences 2025;12(5):462 View
  9. Y. Wang A, Vereschagin M, G. Richardson C, J. Munthali R, Xie H, L. Hudec K, Mori T, Munro L, V. Vigo D. Examining the effects of engagement with an app-based mental health intervention: a secondary analysis of a randomized control trial with treatment non-compliance. International Journal of Mental Health Systems 2025;19(1) View

Books/Policy Documents

  1. Sneha , Raza S. Affective Computing for Social Good. View
  2. Chatterjee S, Dindarian A, Rengaraju U. Revolutionizing Youth Mental Health with Ethical AI. View
  3. Asri B, Qassimi S, Rakrak S. Artificial Intelligence and Green Computing. View

Conference Proceedings

  1. Hadi M, Shnawa A, Jebur M, Adnan M, Mohammed G, Hameed W. 2023 6th International Conference on Engineering Technology and its Applications (IICETA). Avoidance of Scalability Problem in Recommendation System Using Filtering Approch View