Prediction of first attempt of suicide in early adolescence using machine learning.

Journal: Journal of affective disorders
PMID: 40189068

Abstract

BACKGROUND: Suicide is the second leading cause of death among early adolescents, yet the first onset of suicide attempts during this critical developmental period remains poorly understood. This study aimed to identify key characteristics associated with the first suicide attempt in early adolescence and to develop a predictive model for assessing individual risk.

Authors

  • Chen Huang
    Department of Pharmacy, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
  • Yanling Yue
    Department of Psychological and Cognitive Sciences, Tsinghua University, Beijing 100084, China.
  • Zimao Wang
    Department of Psychological and Cognitive Sciences, Tsinghua University, Beijing 100084, China.
  • Yong-Jin Liu
    Department of Computer Science and Technology, Tsinghua University, Beijing, China.
  • Nisha Yao
    School of Kinesiology and Health, Capital University of Physical Education and Sports, Beijing, China. Electronic address: yaonisha@cupes.edu.cn.
  • Wenting Mu
    Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

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