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

Health Services in Resource-Poor Settings and LMICs (414) Machine Learning (1465) Clinical Information and Decision Making (1407) Decision Support for Health Professionals (1185) Depression and Mood Disorders; Suicide Prevention (1363)

Published on in Vol 7, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24377, first published .
Designing a Clinical Decision Support Tool That Leverages Machine Learning for Suicide Risk Prediction: Development Study in Partnership With Native American Care Providers

Designing a Clinical Decision Support Tool That Leverages Machine Learning for Suicide Risk Prediction: Development Study in Partnership With Native American Care Providers

Designing a Clinical Decision Support Tool That Leverages Machine Learning for Suicide Risk Prediction: Development Study in Partnership With Native American Care Providers

Authors of this article:

Emily E Haroz1 Author Orcid Image ;   Fiona Grubin1 Author Orcid Image ;   Novalene Goklish1 Author Orcid Image ;   Shardai Pioche1 Author Orcid Image ;   Mary Cwik1 Author Orcid Image ;   Allison Barlow1 Author Orcid Image ;   Emma Waugh1 Author Orcid Image ;   Jason Usher1 Author Orcid Image ;   Matthew C Lenert2 Author Orcid Image ;   Colin G Walsh2, 3, 4 Author Orcid Image
Article Authors Cited by (13) Tweetations (3) Metrics

Journals

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  5. Haroz E, Goklish N, Walsh C, Cwik M, O’Keefe V, Larzelere F, Garcia M, Minjarez T, Barlow A. Evaluation of the Risk Identification for Suicide and Enhanced Care Model in a Native American Community. JAMA Psychiatry 2023;80(7):675 View
  6. 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;24(4):645 View
  7. Evans R, Bryant L, Russell G, Absolom K. Trust and acceptability of data-driven clinical recommendations in everyday practice: A scoping review. International Journal of Medical Informatics 2024;183:105342 View
  8. Tai A, Kim J, Schmeckenbecher J, Kitchin V, Wang J, Kazemi A, Masoudi R, Fadakar H, Iorfino F, Krausz R. Clinical decision support systems in addiction and concurrent disorders: A systematic review and meta‐analysis. Journal of Evaluation in Clinical Practice 2024;30(8):1664 View
  9. Atmakuru A, Shahini A, Chakraborty S, Seoni S, Salvi M, Hafeez-Baig A, Rashid S, Tan R, Barua P, Molinari F, Acharya U. Artificial intelligence-based suicide prevention and prediction: A systematic review (2019–2023). Information Fusion 2025;114:102673 View
  10. Angerhofer Richards J, Cruz M, Stewart C, Lee A, Ryan T, Ahmedani B, Simon G. Effectiveness of Integrating Suicide Care in Primary Care. Annals of Internal Medicine 2024 View
  11. Adams R, Haroz E, Rebman P, Suttle R, Grosvenor L, Bajaj M, Dayal R, Maggio D, Kettering C, Goklish N. Developing a suicide risk model for use in the Indian Health Service. npj Mental Health Research 2024;3(1) View
  12. Haroz E, Rebman P, Goklish N, Garcia M, Suttle R, Maggio D, Clattenburg E, Mega J, Adams R. Performance of Machine Learning Suicide Risk Models in an American Indian Population. JAMA Network Open 2024;7(10):e2439269 View
  13. Thomas J, Lucht A, Segler J, Wundrack R, Miché M, Lieb R, Kuchinke L, Meinlschmidt G. Suicidality Prediction in Youth Crisis Text Line Users: Development and Validation of an Explainable Artificial Intelligence Text Classifier (Preprint). JMIR Public Health and Surveillance 2024 View