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Homicidality risk prediction based on ecological systems theory in an early adolescent cohort using machine learning

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  • Li, Min
  • Tang, Ting
  • He, Yuheng
  • Tong, Yingying
  • Yuan, Mengyuan
  • Li, Yonghan
  • Zhang, Xueying
  • Wang, Gengfu
  • Su, Puyu

Abstract

Identifying high-risk adolescents prone to homicidality, linked to serious criminal activities and homicide, offers vital avenues for homicide prevention.

Suggested Citation

  • Li, Min & Tang, Ting & He, Yuheng & Tong, Yingying & Yuan, Mengyuan & Li, Yonghan & Zhang, Xueying & Wang, Gengfu & Su, Puyu, 2024. "Homicidality risk prediction based on ecological systems theory in an early adolescent cohort using machine learning," Journal of Criminal Justice, Elsevier, vol. 94(C).
    • Handle: RePEc:eee:jcjust:v:94:y:2024:i:c:s0047235224001107
    DOI: 10.1016/j.jcrimjus.2024.102261
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    References listed on IDEAS

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    1. Michael T. Baglivio & Kevin T. Wolff, 2017. "Prospective Prediction of Juvenile Homicide/Attempted Homicide among Early-Onset Juvenile Offenders," IJERPH, MDPI, vol. 14(2), pages 1-13, February.
    2. Richard F. Catalano & M. Lisa Berglund & Jean A. M. Ryan & Heather S. Lonczak & J. David Hawkins, 2004. "Positive Youth Development in the United States: Research Findings on Evaluations of Positive Youth Development Programs," The ANNALS of the American Academy of Political and Social Science, , vol. 591(1), pages 98-124, January.
    3. Rachel Sun & Daniel Shek, 2010. "Life Satisfaction, Positive Youth Development, and Problem Behaviour Among Chinese Adolescents in Hong Kong," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 95(3), pages 455-474, February.
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