Identifying minimal risk factors for adolescent suicidal ideation and suicide attempts: A machine learning-optimized approach

Catherine Park; Beom-Chan Lee

doi:10.1371/journal.pone.0346050

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Open Access

Peer-reviewed

Research Article

Identifying minimal risk factors for adolescent suicidal ideation and suicide attempts: A machine learning-optimized approach

Catherine Park,

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

Affiliations Division of Digital Healthcare, Yonsei University, Wonju, South Korea, Center for Planetary Health Digital Healthcare, Institute for Planetary Health, Yonsei University, Wonju, South Korea

https://orcid.org/0000-0002-6137-5098

⨯
Beom-Chan Lee

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

^* blee24@central.uh.edu

Affiliations Department of Health and Human Performance, University of Houston, Houston, Texas, United States of America, Center for Neuromotor and Biomechanics Research, University of Houston, Houston, Texas, United States of America

https://orcid.org/0000-0002-5647-0170

⨯

Identifying minimal risk factors for adolescent suicidal ideation and suicide attempts: A machine learning-optimized approach

Catherine Park,
Beom-Chan Lee

Published: April 6, 2026
https://doi.org/10.1371/journal.pone.0346050

About the Authors

Catherine Park

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

Affiliations Division of Digital Healthcare, Yonsei University, Wonju, South Korea, Center for Planetary Health Digital Healthcare, Institute for Planetary Health, Yonsei University, Wonju, South Korea

https://orcid.org/0000-0002-6137-5098

Beom-Chan Lee

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

^* blee24@central.uh.edu

Affiliations Department of Health and Human Performance, University of Houston, Houston, Texas, United States of America, Center for Neuromotor and Biomechanics Research, University of Houston, Houston, Texas, United States of America

https://orcid.org/0000-0002-5647-0170

Competing Interests

The authors have declared that no competing interests exist.

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Suicide
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Medical risk factors
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Adolescents
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Mental health and psychiatry
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Psychological stress
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Behavioral and social aspects of health
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Sleep
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Machine learning
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