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

Industry Perspective (2) Natural Language Processing (535) Anxiety and Stress Disorders (881) Depression and Mood Disorders; Suicide Prevention (1132)

Published on in Vol 7 , No 11 (2020) :November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20646, first published .
Leveraging the Power of Nondisruptive Technologies to Optimize Mental Health Treatment: Case Study

Leveraging the Power of Nondisruptive Technologies to Optimize Mental Health Treatment: Case Study

Leveraging the Power of Nondisruptive Technologies to Optimize Mental Health Treatment: Case Study

Authors of this article:

Shiri Sadeh-Sharvit 1, 2 Author Orcid Image ;   Steven D Hollon 3 Author Orcid Image
Article Authors Cited by (4) Tweetations (8) Metrics

Journals

  1. Flaherty H. Teaching Note—Using Technology to Enhance Experiential Learning Through Simulated Role Plays. Journal of Social Work Education 2022:1 View
  2. Sadeh-Sharvit S, Rego S, Jefroykin S, Peretz G, Kupershmidt T. A Comparison Between Clinical Guidelines and Real-World Treatment Data in Examining the Use of Session Summaries: Retrospective Study. JMIR Formative Research 2022;6(8):e39846 View
  3. Robinson T, Condell J, Ramsey E, Leavey G. Self-Management of Subclinical Common Mental Health Disorders (Anxiety, Depression and Sleep Disorders) Using Wearable Devices. International Journal of Environmental Research and Public Health 2023;20(3):2636 View
  4. Peretz G, Taylor C, Ruzek J, Jefroykin S, Sadeh-Sharvit S. Machine Learning Model to Predict Assignment of Therapy Homework in Behavioral Treatments: Algorithm Development and Validation. JMIR Formative Research 2023;7:e45156 View