Employing machine learning for early detection of poly-victimization in rural children: a survey study in China’s Chaoshan region

This study demonstrates the utility of machine learning models in predicting PV among rural children, particularly left-behind children, in the Chaoshan region. Identifying risk factors and developing an early-warning index provide valuable tools for injury prevention, risk assessment, and targeted interventions, with potential applications in public health policy.