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

Case Study (35) Clinical Information and Decision Making (1957) Decision Support for Health Professionals (1569) Machine Learning (2130) Artificial Intelligence (2198) Depression and Mood Disorders; Suicide Prevention (1718) Tools, Programs and Algorithms (387) Electronic Health Records (1337)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74240, first published .
Developing a Suicide Risk Prediction Algorithm Using Electronic Health Record Data in Mental Health Care: Real-World Case Study

Developing a Suicide Risk Prediction Algorithm Using Electronic Health Record Data in Mental Health Care: Real-World Case Study

Developing a Suicide Risk Prediction Algorithm Using Electronic Health Record Data in Mental Health Care: Real-World Case Study

Authors of this article:

Linda Hummel1, 2 Author Orcid Image ;   Karin C A G Lorenz-Artz1, 2 Author Orcid Image ;   Joyce J P A Bierbooms1 Author Orcid Image ;   Inge M B Bongers1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Linda Hummel   1, 2 , MSc ;   Karin C A G Lorenz-Artz   1, 2 , PhD ;   Joyce J P A Bierbooms   1 , PhD ;   Inge M B Bongers   1 , PhD

1 Tranzo Scientific Center for Care and Wellbeing, Tilburg School of Social and Behavioral Sciences, Tilburg University, Tilburg, The Netherlands

2 GGzE Mental Health Care Institute, Eindhoven, The Netherlands

Corresponding Author:

  • Linda Hummel, MSc
  • Tranzo Scientific Center for Care and Wellbeing
  • Tilburg School of Social and Behavioral Sciences, Tilburg University
  • Prof. Cobbenhagenlaan 125, Reitse Poort, Room RP 204
  • Tilburg 5037 DB
  • The Netherlands
  • Phone: 31683662495
  • Email: l.hummel@tilburguniversity.edu