Automated detection and prediction of suicidal behavior from clinical notes using deep learning.
<h4>Background</h4>Deep learning approaches have tremendous potential to improve the predictive power of traditional suicide prediction models to detect and predict intentional self-harm (ISH). Existing research is limited by a general lack of consistent performance and replicability across sites. W...
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| Autors principals: | , , , , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science (PLoS)
2025-01-01
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| Col·lecció: | PLoS ONE |
| Accés en línia: | https://doi.org/10.1371/journal.pone.0331459 |
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