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

New Methods (1030) Depression and Mood Disorders; Suicide Prevention (1514)

Published on in Vol 23, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21690, first published .
Content-Based Recommender Support System for Counselors in a Suicide Prevention Chat Helpline: Design and Evaluation Study

Content-Based Recommender Support System for Counselors in a Suicide Prevention Chat Helpline: Design and Evaluation Study

Content-Based Recommender Support System for Counselors in a Suicide Prevention Chat Helpline: Design and Evaluation Study

Authors of this article:

Salim Salmi1 Author Orcid Image ;   Saskia Mérelle2 Author Orcid Image ;   Renske Gilissen2 Author Orcid Image ;   Willem-Paul Brinkman3 Author Orcid Image
Article Authors Cited by (10) Tweetations (5) Metrics

Journals

  1. Leist A, Klee M, Kim J, Rehkopf D, Bordas S, Muniz-Terrera G, Wade S. Mapping of machine learning approaches for description, prediction, and causal inference in the social and health sciences. Science Advances 2022;8(42) View
  2. Bond R, Mulvenna M, Potts C, O’Neill S, Ennis E, Torous J. Digital transformation of mental health services. npj Mental Health Research 2023;2(1) View
  3. Cameron D, Kovac V, Horverak M. Online chat-support for bullying prevention and follow-up: an analysis of the characteristics of chat-users and their experiences. International Journal of Adolescence and Youth 2023;28(1) View
  4. Slade E, Rennick-Egglestone S, Ng F, Kotera Y, Llewellyn-Beardsley J, Newby C, Glover T, Keppens J, Slade M. The Implementation of Recommender Systems for Mental Health Recovery Narratives: Evaluation of Use and Performance. JMIR Mental Health 2024;11:e45754 View
  5. Pellemans M, Salmi S, Mérelle S, Janssen W, van der Mei R. Automated Behavioral Coding to Enhance the Effectiveness of Motivational Interviewing in a Chat-Based Suicide Prevention Helpline: Secondary Analysis of a Clinical Trial. Journal of Medical Internet Research 2024;26:e53562 View
  6. Salmi S, Mérelle S, van Eijk N, Gilissen R, van der Mei R, Bhulai S. Real-time assistance in suicide prevention helplines using a deep learning-based recommender system: A randomized controlled trial. International Journal of Medical Informatics 2025;195:105760 View
  7. Grundmann S, Al Owayyed M, Bruijnes M, Vroonhof E, Brinkman W. Lilobot: A Cognitive Conversational Agent to Train Counsellors at Children’s Helplines. Journal of Medical Systems 2025;49(1) View

Conference Proceedings

  1. Wang C, Sahebi S, Torkamaan H. IEEE/WIC/ACM International Conference on Web Intelligence. STRETCH: Stress and Behavior Modeling with Tensor Decomposition of Heterogeneous Data View
  2. Berge A, Guribye F, Fotland S, Fonnes G, Johansen I, Trattner C. Proceedings of the 2023 ACM Designing Interactive Systems Conference. Designing for Control in Nurse-AI Collaboration During Emergency Medical Calls View
  3. Tan L, Zhang Y, Zan D. 2024 3rd International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT). Greedy Strategy and Co-Evaluation Factor in Collaborative Filtering: Enhancing Recommender Systems with Potential Applications in IoT View