Performance of Machine Learning Suicide Risk Models in an American Indian Population.

ABSTRACT:

Importance

Few suicide risk identification tools have been developed specifically for American Indian and Alaska Native populations, even though these populations face the starkest suicide-related inequities.

Objective

To examine the accuracy of existing machine learning models in a majority American Indian population.

Design, setting, and participants

This prognostic study used secondary data analysis of electronic health record data collected from January 1, 2017, to December 31, 2021. Existing models from the Mental Health Research Network (MHRN) and Vanderbilt University (VU) were fitted. Models were compared with an augmented screening indicator that included any previous attempt, recent suicidal ideation, or a recent positive suicide risk screen result. The comp

SUBMITTER: Haroz EE 

PROVIDER: S-EPMC11474420 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature