Published on in Vol 10, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21453, first published .
Natural Language Processing–Based Virtual Cofacilitator for Online Cancer Support Groups: Protocol for an Algorithm Development and Validation Study

Natural Language Processing–Based Virtual Cofacilitator for Online Cancer Support Groups: Protocol for an Algorithm Development and Validation Study

Natural Language Processing–Based Virtual Cofacilitator for Online Cancer Support Groups: Protocol for an Algorithm Development and Validation Study

Journals

  1. Heaton D, Clos J, Nichele E, Fischer J. Critical reflections on three popular computational linguistic approaches to examine Twitter discourses. PeerJ Computer Science 2023;9:e1211 View
  2. Leung Y, Park B, Heo R, Adikari A, Chackochan S, Wong J, Alie E, Gancarz M, Kacala M, Hirst G, de Silva D, French L, Bender J, Mishna F, Gratzer D, Alahakoon D, Esplen M. Providing Care Beyond Therapy Sessions With a Natural Language Processing–Based Recommender System That Identifies Cancer Patients Who Experience Psychosocial Challenges and Provides Self-care Support: Pilot Study. JMIR Cancer 2022;8(3):e35893 View
  3. DeSouza D, Robin J, Gumus M, Yeung A. Natural Language Processing as an Emerging Tool to Detect Late-Life Depression. Frontiers in Psychiatry 2021;12 View
  4. Pereira C, Cheung K, Alie E, Wong J, Esplen M, Leung Y. Pathways to Acceptance in Participants of Advanced Cancer Online Support Groups. Medicina 2021;57(11):1168 View
  5. Rathnayaka P, Mills N, Burnett D, De Silva D, Alahakoon D, Gray R. A Mental Health Chatbot with Cognitive Skills for Personalised Behavioural Activation and Remote Health Monitoring. Sensors 2022;22(10):3653 View
  6. Leung Y, Ng S, Duan L, Lam C, Chan K, Gancarz M, Rennie H, Trachtenberg L, Chan K, Adikari A, Fang L, Gratzer D, Hirst G, Wong J, Esplen M. Therapist Feedback and Implications on Adoption of an Artificial Intelligence–Based Co-Facilitator for Online Cancer Support Groups: Mixed Methods Single-Arm Usability Study. JMIR Cancer 2023;9:e40113 View
  7. Beauchamp J, Wang M, Leon Novelo L, Cox C, Meyer T, Fagundes C, Savitz S, Sharrief A, Dishman D, Johnson C. Feasibility and user-experience of a virtual environment for social connection and education after stroke: A pilot study. Journal of Stroke and Cerebrovascular Diseases 2024;33(2):107515 View
  8. Bowler L, Lopatovska I, Rosin M. Teen-adult interactions during the co-design of data literacy activities for the public library: insights from a natural language processing analysis of linguistic patterns. Information and Learning Sciences 2024;125(3/4):252 View
  9. Lázaro E, Yepez J, Marín-Maicas P, López-Masés P, Gimeno T, de Paúl S, Moscardó V. Efficiency of natural language processing as a tool for analysing quality of life in patients with chronic diseases. A systematic review. Computers in Human Behavior Reports 2024;14:100407 View
  10. Leung Y, Wouterloot E, Adikari A, Hong J, Asokan V, Duan L, Lam C, Kim C, Chan K, De Silva D, Trachtenberg L, Rennie H, Wong J, Esplen M. Artificial Intelligence–Based Co-Facilitator (AICF) for Detecting and Monitoring Group Cohesion Outcomes in Web-Based Cancer Support Groups: Single-Arm Trial Study. JMIR Cancer 2024;10:e43070 View