Predicting Suicides Among US Army Soldiers After Leaving Active Service.

ABSTRACT:

Importance

The suicide rate of military servicemembers increases sharply after returning to civilian life. Identifying high-risk servicemembers before they leave service could help target preventive interventions.

Objective

To develop a model based on administrative data for regular US Army soldiers that can predict suicides 1 to 120 months after leaving active service.

Design, setting, and participants

In this prognostic study, a consolidated administrative database was created for all regular US Army soldiers who left service from 2010 through 2019. Machine learning models were trained to predict suicides over the next 1 to 120 months in a random 70% training sample. Validation was implemented in the remaining 30%. Data were analyzed from March 2023 through March 20

SUBMITTER: Kennedy CJ 

PROVIDER: S-EPMC11425193 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature