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](https://asset.jmir.pub/assets/17fedcd7d84c3ddfdfb3ebd18429f587.png 480w,https://asset.jmir.pub/assets/17fedcd7d84c3ddfdfb3ebd18429f587.png 960w,https://asset.jmir.pub/assets/17fedcd7d84c3ddfdfb3ebd18429f587.png 1920w,https://asset.jmir.pub/assets/17fedcd7d84c3ddfdfb3ebd18429f587.png 2500w)
Journals
- Vuscan M, Vica M, Balici S, Nicula G, Rusu S, Siserman C, Coman H, Matei H. Association of HLA class II alleles with suicidal behavior in a Transylvanian population. Revista Romana de Medicina de Laborator 2023;31(1):15 View
- 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
- Kleiman E, Glenn C, Liu R. The use of advanced technology and statistical methods to predict and prevent suicide. Nature Reviews Psychology 2023;2(6):347 View
- Ripperger M, Kolli J, Wilimitis D, Robinson K, Reale C, Novak L, Cunningham C, Kasuske L, Grover S, Ribeiro J, Walsh C. External Validation and Updating of a Statistical Civilian-Based Suicide Risk Model in US Naval Primary Care. JAMA Network Open 2023;6(11):e2342750 View
- 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
- Giddings R, Joseph A, Callender T, Janes S, van der Schaar M, Sheringham J, Navani N. Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review. The Lancet Digital Health 2024;6(2):e131 View
- 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
- 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
Books/Policy Documents
- Salgado-Baez E, Näher A, Friedrich M, Kremser G, Braune K, Balzer F. Health Data Management. View