Exploring Factors Influencing Suicidal Ideation in Workers with Mental Disabilities Using Machine Learning Ensemble Techniques
Year: 2024
Type: article
Abstract: Suicide is a critical public health issue globally, with South Korea exhibiting the leading suicide rate within OECD nations. This study aims to identify factors influencing suicidal ideation among workers with mental disabilities using machine learning ensemble techniques, specifically Bagging and Boosting. Data from the 2022 Ministry of Health and Welfare's
Author: Haewon Byeon
Language: English
Subfield: Clinical Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4403360203