Machine learning prediction of suicidal ideation, planning, and attempt among Korean adults: A population-based study
Background: Suicide remains the leading cause of premature death in South Korea. This study aims to develop machine learning algorithms for screening Korean adults at risk for suicidal ideation and suicide planning or attempt. Methods: Two sets of balanced data for Korean adults aged 19–64 years wer...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-09-01
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| Series: | SSM: Population Health |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352827322002105 |