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

Journal: BMC public health
Published Date:

Abstract

BACKGROUND: Poly-victimization (PV), encompassing multiple forms of victimization including physical abuse, emotional maltreatment, neglect, and peer violence, poses a significant public health challenge among children, particularly in rural areas with high rates of children whose parents have migrated to cities for work, leaving them in rural areas (left-behind children). This study investigates PV among rural children in the Chaoshan region of China, an area with distinct economic and cultural characteristics.

Authors

  • Zicheng Cao
  • Yandong Luo
    School of Public Health, Shantou University, Shantou, 515041, China.
  • Ping Chang
    School of Public Health, Shantou University, Shantou, 515041, China.
  • Jiajun Zhou
    Key Laboratory for Carbonaceous Waste Processing and Process Intensification Research of Zhejiang Province, University of Nottingham Ningbo China, 199 Taikang East Road, Ningbo 315100, China.
  • Liping Li
    School of Public Health, Key Laboratory of Environment and Human Health of Hebei Medical University Shijiazhuang 050017 China xuxd@hebmu.edu.cn.