An Explainable Artificial Intelligence Text Classifier for Suicidality Prediction in Youth Crisis Text Line Users: Development and Validation Study
BackgroundSuicide represents a critical public health concern, and machine learning (ML) models offer the potential for identifying at-risk individuals. Recent studies using benchmark datasets and real-world social media data have demonstrated the capability of pretrained lar...
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Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
JMIR Publications
2025-01-01
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Series: | JMIR Public Health and Surveillance |
Online Access: | https://publichealth.jmir.org/2025/1/e63809 |
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