Prediction models for high risk of suicide in Korean adolescents using machine learning techniques

• Jun Su Jung ,

  Contributed equally to this work with: Jun Su Jung, Sung Jin Park

  Roles Formal analysis, Writing – original draft, Writing – review & editing

  Affiliation School of Medicine, Gachon University College of Medicine, Incheon, South Korea

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• Sung Jin Park ,

  Contributed equally to this work with: Jun Su Jung, Sung Jin Park

  Roles Data curation, Formal analysis, Software, Validation, Visualization, Writing – original draft

  Affiliation Department of Biomedical Engineering, Gachon University College of Medicine, Incheon, South Korea

  ⨯
• Eun Young Kim ,

  Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Project administration, Software, Supervision, Validation, Writing – original draft, Writing – review & editing

  * E-mail: oneshot0229@gmail.com (EYK); kimkg@gachon.ac.kr (KGK)

  ¶‡ These authors also contributed equally to this work.

  Affiliations Department of Information and Statistics, Korea National Open University, Seoul, South Korea, Department of Radiology, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea

  http://orcid.org/0000-0002-2101-7982

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• Kyoung-Sae Na,

  Roles Writing – review & editing

  Affiliation Department of Psychiatry, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea

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• Young Jae Kim,

  Roles Supervision, Writing – review & editing

  Affiliation Department of Biomedical Engineering, Gachon University College of Medicine, Incheon, South Korea

  http://orcid.org/0000-0003-0443-0051

  ⨯
• Kwang Gi Kim

  Roles Conceptualization, Methodology, Supervision, Writing – review & editing

  * E-mail: oneshot0229@gmail.com (EYK); kimkg@gachon.ac.kr (KGK)

  ¶‡ These authors also contributed equally to this work.

  Affiliation Department of Biomedical Engineering, Gachon University College of Medicine, Incheon, South Korea

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