Prediction of suicidal ideation among Chinese college students based on radial basis function neural network.

ABSTRACT:

Background

Suicide is one of the leading causes of death for college students. The predictors of suicidal ideation among college students are inconsistent and few studies have systematically investigated psychological symptoms of college students to predict suicide. Therefore, this study aims to develop a suicidal ideation prediction model and explore important predictors of suicidal ideation among college students in China.

Methods

We recruited 1,500 college students of Sichuan University and followed up for 4 years. Demographic information, behavioral and psychological information of the participants were collected using computer-based questionnaires. The Radial Basis Function Neural Network (RBFNN) method was used to develop three suicidal ideation risk prediction models

SUBMITTER: Liao S 

PROVIDER: S-EPMC9751327 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature