Suicide risk prediction for Korean adolescents based on machine learning

Suicide risk prediction for Korean adolescents based on machine learning

Abstract Traditional clinical risk assessment tools proved inadequate for reliably identifying individuals at high risk for suicidal behavior. As a result, machine learning (ML) techniques have become progressively incorporated into psychiatric care. This study evaluates the predictive capability of...

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Bibliographic Details
Main Authors: Haitao Wang, Han Yuan, Yunong Zhang, Qixuan Wang, Zeng Gao, Mujuan Zhao
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Suicide Risk
Adolescents
Machine Learning
Multidimensional Data
Prediction model
Online Access:https://doi.org/10.1038/s41598-025-99626-0
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https://doi.org/10.1038/s41598-025-99626-0

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