Last Posted: Feb 19, 2020
- Predicting death by suicide using administrative health care system data: Can recurrent neural network, one-dimensional convolutional neural network, and gradient boosted trees models improve prediction performance?
Sanderson Michael et al. Journal of affective disorders 2020 Mar 264107-114 - Study to use artificial intelligence to explore suicide risk
P Govern, VUMC Reporter, January 15, 2020 - Suicide.
Fazel Seena et al. The New England journal of medicine 2020 Jan (3) 266-274 - Prospective prediction of suicide attempts in community adolescents and young adults, using regression methods and machine learning.
Miché Marcel et al. Journal of affective disorders 2019 Nov - Reaching Those at Highest Risk for Suicide: Development of a Model Using Machine Learning Methods for use With Native American Communities.
Haroz Emily E et al. Suicide & life-threatening behavior 2019 Nov - The benefits of genetic addiction risk score (GARS™) and pro-dopamine regulation in combating suicide in the American Indian population.
Blum Kenneth et al. Journal of systems and integrative neuroscience 2018 Sep 4 - Prediction of Sex-Specific Suicide Risk Using Machine Learning and Single-Payer Health Care Registry Data From Denmark.
Gradus Jaimie L et al. JAMA psychiatry 2019 Oct - Machine Learning for Suicide Research–Can It Improve Risk Factor Identification?
S Fazel et al, JAMA Psychiatry, October 23, 2019 - Machine Learning for Suicide Research-Can It Improve Risk Factor Identification?
Fazel Seena, et al. JAMA psychiatry 2019 10 0. - Effective Health Care Program - Submit a Suggestion for a New Evidence Review,
Agency for Healthcare Research and Quality's (AHRQ) Evidence-based Practice Center (EPC) Program
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