Comparison of Machine Learning Models for Predicting Suicide Attempts among Korean Adolescents with Suicidal Ideation: Secondary Data Analysis Based on 20th Korea Youth Risk Behavior Survey.
Purpose: This study aimed to identify the factors associated with the progression from suicidal ideation to suicide attempts and to compare the predictive performance of various machine learning models. Methods: We conducted a secondary analysis using original data from the 20th Korea Youth Risk Beh...
| Published in: | Journal of Korean Academy of Psychiatric & Mental Health Nursing (JKPMHN) Vol. 34; pp. 57 - 69 |
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| Main Authors: | , |
| Format: | research tables/charts Journal Article |
| Published: |
Korean Academy of Psychiatric & Mental Health Nursing
2025 Special Issue
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| Online Access: | View this record in EBSCOhost |