Can cognition help predict suicide risk in patients with major depressive disorder? A machine learning study.

ABSTRACT:

Background

Previous studies suggest that deficits in cognition may increase the risk of suicide. Our study aims to develop a machine learning (ML) algorithm-based suicide risk prediction model using cognition in patients with major depressive disorder (MDD).

Methods

Participants comprised 52 depressed suicide attempters (DSA) and 61 depressed non-suicide attempters (DNS), and 98 healthy controls (HC). All participants were required to complete a series of questionnaires, the Suicide Stroop Task (SST) and the Iowa Gambling Task (IGT). The performance in IGT was analyzed using repeated measures ANOVA. ML with extreme gradient boosting (XGBoost) classification algorithm and locally explanatory techniques assessed performance and relative importance of characteristics for predic

SUBMITTER: Zheng S 

PROVIDER: S-EPMC9434973 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature