suicide risk

Study validates use of VUMC suicide risk model in Navy primary care

A Vanderbilt study found that automated suicide risk prediction models operating on electronic health records could help clinical teams efficiently identify patients for face-to-face suicide risk screening and prevention.

Study highlights risks for self-harm events in children and adolescents

A Vanderbilt study has identified four separate profiles to help medical professionals better assess children at elevated risk for a self-harm event.

Suicide notes

Natural language processing of notes in electronic health records can identify suicidal behavior and could be used to directly improve real-time risk prediction algorithms.

Suicide prediction method combines AI and face-to-face screening

New Vanderbilt research is pointing to solutions for efficient clinical prediction of suicide attempt or suicidal thinking in adults.

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Study examines genetic risk for suicide attempt

New research from Vanderbilt identifies the first replicated genomic region contributing to risk of suicide attempt and confirms that genetic risk for the trait is not driven solely by risk for psychiatric disorders.

Artificial intelligence calculates suicide attempt risk at VUMC

A machine learning algorithm that predicts suicide attempt recently underwent a prospective trial at the institution where it was developed, Vanderbilt University Medical Center.