Predictive modeling of adolescent suicidal behavior using machine learning: Key features and algorithmic insights
Suicidal ideation prevalence among students is a growing concern that requires urgent attention.This review systematically analyzes 28 studies on the application of machine learning techniques for the early detection of suicidal ideation. Among these, Random Forest and SVM emerged as the most common...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-12-01
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Series: | MethodsX |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2215016125002997 |
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