suicide risk

November 17, 2023

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.

By Paul Govern
May 1, 2023

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.

By Jessica Pasley
November 21, 2022

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.

By Paul Govern
May 13, 2022

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.

By Paul Govern
(iStock)
November 30, 2021

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.

By Paul Govern
March 15, 2021

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.

By Paul Govern
February 11, 2021

Study will delve into EHR for signs of suicidality

Retrieval of clearer, more complete information from the EHR could go a long way toward improving predictive models of who will next be at risk of suicide, thereby improving care for patients with suicidal thoughts and behaviors.
By Paul Govern