Journal of Shandong University (Health Sciences) ›› 2022, Vol. 60 ›› Issue (4): 10-16.doi: 10.6040/j.issn.1671-7554.0.2021.0175

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Review of machine learning used in the field of suicide

Li KUANG1,*(),Xiaoming XU1,Qi ZENG2   

  1. 1. Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
    2. Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing 401331, China
  • Received:2021-02-09 Online:2022-04-10 Published:2022-04-22
  • Contact: Li KUANG E-mail:kuangli0308@163.com

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Abstract:

A total of 800, 000 people die of suicide every year over the world, and the number of attempted suicides is about 20 times number of suicide. Suicide not only is a serious public health event, but also significantly and far-reachingly impact on people around suicides. More accurate, convenient, and timely prediction of suicidal behavior has always been the goal of researchers. This study summarized the researches on machine learning applied to suicidal ideation and behavior in the past 5 years, analyzed the effectiveness and feasibility of machine learning for suicide research, made recommendations, and provided a direction for future research.

Key words: Machine learning, Suicide, Suicide attempt, Suicidal ideation, Big data

CLC Number: 

  • R774
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