Predicting survival factor following suicide attempt in Iran: an ensemble machine learning technique.
Journal:
BMC psychiatry
Published Date:
Aug 28, 2025
Abstract
BACKGROUND: Suicide represents a significant challenge to public health that calls for a suitable intervention from the healthcare sector. Despite the typically low suicide rate among most Muslim nations, research indicates that there is an increase in suicide in Iran. Despite increasing suicide rates in Iran, existing predictive models rely on traditional statistical methods, which may be insufficient for individualized risk assessment. This study applies ensemble ML techniques to improve survival prediction accuracy.
