Detection of Self-Harm in Electronic Mental Health Records Using Privacy-Preserving Local Language Models: Methodological Study
Abstract BackgroundSelf-harm is the strongest risk factor for suicide and an important outcome for mental health care. Although prevalent in clinical populations, it is often imprecisely captured in routinely collected clinical data, where it is often recorded and stored as un...
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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
JMIR Publications
2026-06-01
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| Col·lecció: | JMIR Mental Health |
| Accés en línia: | https://mental.jmir.org/2026/1/e87586 |
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