Suicide prediction among men and women with depression: A population-based study.

ABSTRACT:

Background

Accurate identification of persons at risk of suicide is challenging because suicide is a rare outcome with a multifactorial origin. The purpose of this study was to predict suicide among persons with depression using machine learning methods.

Methods

A case-cohort study was conducted in Denmark between January 1, 1995 and December 31, 2015. Cases were all persons who died by suicide and had an incident depression diagnosis in Denmark (n = 2,774). The comparison subcohort was a 5% random sample of all individuals in Denmark at baseline, restricted to persons with an incident depression diagnosis during the study period (n = 11,963). Classification trees and random forests were used to predict suicide.

Results

In men with depression, there was a high risk of

SUBMITTER: Jiang T 

PROVIDER: S-EPMC8456450 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature