Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45156, first published .
Machine Learning Model to Predict Assignment of Therapy Homework in Behavioral Treatments: Algorithm Development and Validation

Machine Learning Model to Predict Assignment of Therapy Homework in Behavioral Treatments: Algorithm Development and Validation

Machine Learning Model to Predict Assignment of Therapy Homework in Behavioral Treatments: Algorithm Development and Validation

Journals

  1. TABAK C. INTELLIGENT MUSIC APPLICATIONS: INNOVATIVE SOLUTIONS FOR MUSICIANS AND LISTENERS. Uluslararası Anadolu Sosyal Bilimler Dergisi 2023;7(3):752 View
  2. Khalsa M, Block P, Greiner-Ferris J. Yoga-Cognitive Behavioral Therapy (Y-CBT) Benefits Older Adults with Anxiety. Activities, Adaptation & Aging 2024;48(4):627 View
  3. Spinrad A, Taylor C, Ruzek J, Jefroykin S, Friedlander T, Feleke I, Lev-Ari H, Szapiro N, Sadeh-Sharvit S. Action recommendations review in community-based therapy and depression and anxiety outcomes: a machine learning approach. BMC Psychiatry 2024;24(1) View
  4. Stade E, Stirman S, Ungar L, Boland C, Schwartz H, Yaden D, Sedoc J, DeRubeis R, Willer R, Eichstaedt J. Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation. npj Mental Health Research 2024;3(1) View
  5. Moore I, Magnante C, Embry E, Mathis J, Mooney S, Haj-Hassan S, Cottingham M, Padala P. Doctor AI? A pilot study examining responses of artificial intelligence to common questions asked by geriatric patients. Frontiers in Artificial Intelligence 2024;7 View
  6. Samuel D, De Martin E, Berg T, Berenguer M, Burra P, Fondevila C, Heimbach J, Pageaux G, Sanchez-Fueyo A, Toso C. EASL Clinical Practice Guidelines on liver transplantation. Journal of Hepatology 2024;81(6):1040 View
  7. Holmes G, Tang B, Gupta S, Venkatesh S, Christensen H, Whitton A. Applications of Large Language Models in the Field of Suicide Prevention: Scoping Review. Journal of Medical Internet Research 2025;27:e63126 View
  8. Bouguettaya A, Team V, Stuart E, Aboujaoude E. AI-driven report-generation tools in mental healthcare: A review of commercial tools. General Hospital Psychiatry 2025;94:150 View
  9. Liu D, Bai J, Zhang Z, Zhang Y, Zhang Z, Zhao J, An P. TherAIssist: Assisting Art Therapy Homework and Client-Practitioner Collaboration through Human-AI Interaction. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2025;9(3):1 View
  10. Alexander D, Alexander B, Martin T, Christoph J. The role of prompt, voice, and personality factors in the acceptance and evaluation of AI-generated mindfulness exercises. Scientific Reports 2025;15(1) View

Conference Proceedings

  1. Xu J, Wei T, Hou B, Orzechowski P, Yang S, Jin R, Paulbeck R, Wagenaar J, Demiris G, Shen L. Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance View