About

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Suicide is one of the ten leading causes of death in the United States. Even though the majority of all individuals who die by suicide have contact with a healthcare professional in the month before their death, suicide risk is rarely detected in such cases. PredMed researchers have developed advanced predictive models able to identify between one third and one half of all suicide attempts on average three years before they occur, enabling life-saving interventions and care.

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Another grave problem in mental health is Psychosis. Psychosis often first appears during adolescence or young adulthood, and is difficult to detect. If left undetected and untreated, psychosis can quickly deteriorate to even more severe mental illness. PredMed researchers are developing advanced predictive models to identify cases of first episode psychosis years prior to when they would otherwise be detected by the health system.

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Selected Publications

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Rosellini AJ, Street AE, Ursano RJ, Chiu WT, Heeringa SG, Monahan J, Naifeh JA, Petukhova MV, Reis BY, Sampson NA, Bliese PD, Stein MB, Zaslavsky AM, Kessler RC. Sexual Assault Victimization and Mental Health Treatment, Suicide Attempts, and Career Outcomes Among Women in the US Army. Am J Public Health. 2017 May;107(5):732-739.

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Kessler RC, Stein MB, Petukhova MV, Bliese P, Bossarte RM, Bromet EJ, Fullerton CS, Gilman SE, Ivany C, Lewandowski-Romps L, Millikan Bell A, Naifeh JA, Nock MK, Reis BY, Rosellini AJ, Sampson NA, Zaslavsky AM, Ursano RJ; Army STARRS Collaborators. Predicting suicides after outpatient mental health visits in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). Mol Psychiatry. 2017 Apr;22(4):544-551.

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Barak-Corren Y, Castro VM, Javitt S, Hoffnagle AG, Dai Y, Perlis RH, Nock MK, Smoller JW, Reis BY. Predicting Suicidal Behavior From Longitudinal Electronic Health Records. Am J Psychiatry. 2017 Feb 1;174(2):154-162.

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Rosellini AJ, Monahan J, Street AE, Hill ED, Petukhova M, Reis BY, Sampson NA, Benedek DM, Bliese P, Stein MB, Ursano RJ, Kessler RC. Using administrative data to identify U.S. Army soldiers at high-risk of perpetrating minor violent crimes. J Psychiatr Res. 2017 Jan;84:128-136.

Street AE, Rosellini AJ, Ursano RJ, Heeringa SG, Hill ED, Monahan J, Naifeh JA, Petukhova MV, Reis BY, Sampson NA, Bliese PD, Stein MB, Zaslavsky AM, 

Kessler RC. Developing a Risk Model to Target High-risk Preventive Interventions for Sexual Assault Victimization among Female U.S. Army Soldiers. Clin Psychol Sci. 2016;4(6):939-956. Epub 2016 Jul 29.

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Partners & Funding

National Institute of Mental Health, NIH

Tommy Fuss Foundation