Machine learning identifies different related factors associated with depression and suicidal ideation in Chinese children and adolescents.

Journal: Journal of affective disorders
PMID: 38844165

Abstract

BACKGROUND: Depression and suicidal ideation often co-occur in children and adolescents, yet they possess distinct characteristics. This study sought to identify the different related factors associated with depression and suicidal ideation.

Authors

  • Qingyin Li
    Institute of Developmental Psychology, Beijing Normal University, Beijing, China.
  • Kunru Song
    State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
  • Tao Feng
    School of Pharmacy, Anhui University of Chinese Medicine, Anhui Key Laboratory of Modern Chinese Materia Medica Hefei 230012 People's Republic of China tfeng@mail.scuec.edu.cn wanggk@ahtcm.edu.cn.
  • Jintao Zhang
    State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China. Electronic address: zhangjintao@bnu.edu.cn.
  • Xiaoyi Fang
    Institute of Developmental Psychology, Beijing Normal University, Beijing, China; State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China. Electronic address: fangxy@bnu.edu.cn.

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