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

New Methods (944) Depression and Mood Disorders; Suicide Prevention (1363)

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 (7) 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