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

Emotional, Social, Psychological Support for Cancer (200) Web-based and Mobile Health Interventions (3358) Natural Language Processing (708) Innovations and Technology in Cancer Care (431) Artificial Intelligence (1430)

Published on in Vol 8, No 3 (2022): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35893, first published .
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

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

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

Authors of this article:

Yvonne W Leung1, 2, 3 Author Orcid Image ;   Bomi Park1, 4 Author Orcid Image ;   Rachel Heo5 Author Orcid Image ;   Achini Adikari6 Author Orcid Image ;   Suja Chackochan1 Author Orcid Image ;   Jiahui Wong1 Author Orcid Image ;   Elyse Alie1 Author Orcid Image ;   Mathew Gancarz1 Author Orcid Image ;   Martyna Kacala1 Author Orcid Image ;   Graeme Hirst7 Author Orcid Image ;   Daswin de Silva6 Author Orcid Image ;   Leon French2 Author Orcid Image ;   Jacqueline Bender2, 8 Author Orcid Image ;   Faye Mishna9 Author Orcid Image ;   David Gratzer2, 10 Author Orcid Image ;   Damminda Alahakoon6 Author Orcid Image ;   Mary Jane Esplen2 Author Orcid Image
Article Authors Cited by (8) Tweetations (7) Metrics

Journals

  1. Reddy V, Nafees A, Raman S. Recent advances in artificial intelligence applications for supportive and palliative care in cancer patients. Current Opinion in Supportive & Palliative Care 2023 View
  2. Carter M, Manworren R, Stinson J. Commentary: Pediatric Pain Measurement, Assessment, and Evaluation. Seminars in Pediatric Neurology 2023;47:101074 View
  3. 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
  4. Urquhart R, Scruton S, Radford S, Kendell C, Hirsch E. Exploring Men’s Experiences with Follow-Up Care following Primary Treatment for Prostate Cancer in Atlantic Canada: A Qualitative Study. Current Oncology 2023;30(12):10111 View
  5. Martin M, Rice K, Murray C, Thorsteinsson E, Usher K. COVID‐19 and beyond: A systematic review of adaptations to psychosocial support in oncology. Journal of Advanced Nursing 2024;80(10):3977 View
  6. 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
  7. Ananthakrishnan A, Milne-Ives M, Cong C, Shankar R, Lakey B, Alexander J, Tapuria A, Marchal A, Joy E, Meinert E. The evaluation of health recommender systems: A scoping review. International Journal of Medical Informatics 2025;195:105697 View