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

Formative Evaluation of Digital Health Interventions (2414) Machine Learning (1465) Depression and Mood Disorders; Suicide Prevention (1363) Decision Support for Health Professionals (1186) Focus Groups and Qualitative Research for Human Factors Research (852) Methods and New Tools in Mental Health Research (454)

Published on in Vol 6, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30946, first published .
Implementing Machine Learning Models for Suicide Risk Prediction in Clinical Practice: Focus Group Study With Hospital Providers

Implementing Machine Learning Models for Suicide Risk Prediction in Clinical Practice: Focus Group Study With Hospital Providers

Implementing Machine Learning Models for Suicide Risk Prediction in Clinical Practice: Focus Group Study With Hospital Providers

Authors of this article:

Kate H Bentley1, 2, 3 Author Orcid Image ;   Kelly L Zuromski2 Author Orcid Image ;   Rebecca G Fortgang2 Author Orcid Image ;   Emily M Madsen1, 4 Author Orcid Image ;   Daniel Kessler2 Author Orcid Image ;   Hyunjoon Lee1, 4 Author Orcid Image ;   Matthew K Nock2 Author Orcid Image ;   Ben Y Reis3, 5 Author Orcid Image ;   Victor M Castro6 Author Orcid Image ;   Jordan W Smoller1, 3, 4 Author Orcid Image
Article Authors Cited by (10) Tweetations (17) Metrics

Journals

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  2. Shortreed S, Walker R, Johnson E, Wellman R, Cruz M, Ziebell R, Coley R, Yaseen Z, Dharmarajan S, Penfold R, Ahmedani B, Rossom R, Beck A, Boggs J, Simon G. Complex modeling with detailed temporal predictors does not improve health records-based suicide risk prediction. npj Digital Medicine 2023;6(1) View
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  5. Davis M, Dysart G, Doupnik S, Hamm M, Schwartz K, George-Milford B, Ryan N, Melhem N, Stepp S, Brent D, Young J. Adolescent, Parent, and Provider Perceptions of a Predictive Algorithm to Identify Adolescent Suicide Risk in Primary Care. Academic Pediatrics 2024 View
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  7. Mortier P, Amigo F, Bhargav M, Conde S, Ferrer M, Flygare O, Kizilaslan B, Latorre Moreno L, Leis A, Mayer M, Pérez-Sola V, Portillo-Van Diest A, Ramírez-Anguita J, Sanz F, Vilagut G, Alonso J, Mehlum L, Arensman E, Bjureberg J, Pastor M, Qin P. Developing a clinical decision support system software prototype that assists in the management of patients with self-harm in the emergency department: protocol of the PERMANENS project. BMC Psychiatry 2024;24(1) View
  8. Hibi A, Cusimano M, Bilbily A, Krishnan R, Tyrrell P. Impact of Automated Prognostication on Traumatic Brain Injury Care: A Focus Group Study. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 2024:1 View
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Books/Policy Documents

  1. Salgado-Baez E, Näher A, Friedrich M, Kremser G, Braune K, Balzer F. Health Data Management. View