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Detection of Self-Harm in Electronic Mental Health Records Using Privacy-Preserving Local Language Models: Methodological Study

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Published in:JMIR Mental Health
Format: Online Article RSS Article
Published: 2026
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container_title JMIR Mental Health
description
discipline_display Psychiatry and Neurology
discipline_facet Psychiatry and Neurology
format Online Article
RSS Article
genre Journal Article
id rss_article:59151
institution FRELIP
journal_source_facet JMIR Mental Health
last_indexed 2026-06-20T21:20:55.268Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Detection of Self-Harm in Electronic Mental Health Records Using Privacy-Preserving Local Language Models: Methodological Study
Psychiatry and Neurology
General
Psychiatry and Neurology
sub_discipline_display General
sub_discipline_facet General
subject_display Psychiatry and Neurology
General
Psychiatry and Neurology
subject_facet Psychiatry and Neurology
General
Psychiatry and Neurology
title Detection of Self-Harm in Electronic Mental Health Records Using Privacy-Preserving Local Language Models: Methodological Study
title_alt Detección de autolesiones en registros electrónicos de salud mental utilizando modelos de lenguaje locales que preservan la privacidad: estudio metodológico
Détection de l'automutilation dans les dossiers de santé mentale électroniques à l'aide de modèles de langage locaux préservant la vie privée : étude méthodologique
Detecção de Automutilação em Prontuários Eletrônicos de Saúde Mental Usando Modelos de Linguagem Locais com Preservação de Privacidade: Estudo Metodológico
title_auth Detection of Self-Harm in Electronic Mental Health Records Using Privacy-Preserving Local Language Models: Methodological Study
title_es_txt Detección de autolesiones en registros electrónicos de salud mental utilizando modelos de lenguaje locales que preservan la privacidad: estudio metodológico
title_fr_txt Détection de l'automutilation dans les dossiers de santé mentale électroniques à l'aide de modèles de langage locaux préservant la vie privée : étude méthodologique
title_full Detection of Self-Harm in Electronic Mental Health Records Using Privacy-Preserving Local Language Models: Methodological Study
title_fullStr Detection of Self-Harm in Electronic Mental Health Records Using Privacy-Preserving Local Language Models: Methodological Study
title_full_unstemmed Detection of Self-Harm in Electronic Mental Health Records Using Privacy-Preserving Local Language Models: Methodological Study
title_pt_txt Detecção de Automutilação em Prontuários Eletrônicos de Saúde Mental Usando Modelos de Linguagem Locais com Preservação de Privacidade: Estudo Metodológico
title_short Detection of Self-Harm in Electronic Mental Health Records Using Privacy-Preserving Local Language Models: Methodological Study
title_sort detection of self-harm in electronic mental health records using privacy-preserving local language models: methodological study
topic Psychiatry and Neurology
General
Psychiatry and Neurology
url https://mental.jmir.org/2026/1/e87586