Development of a natural language-processing application for LGBTQ+ status in mental health records

Background Lesbian, gay, bisexual, transgender, queer and related community (LGBTQ+) individuals have significantly increased risk for mental health problems. However, research on inequalities in LGBTQ+ mental healthcare is limited because LGBTQ+ status is usually only contained in unstructured, f...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Margaret Heslin, Jaya Chaturvedi, Anne Marie Bonnici Mallia, Ace Taaca, Diogo Pontes, Charvi Saraswat, Charlotte Woodhead, Katharine A. Rimes, David Chandran, Jyoti Sanyal, Ruimin Ma, Robert Stewart, Angus Roberts
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Cambridge University Press 2025-11-01
Schriftenreihe:	BJPsych Open
Schlagworte:	LGBTQ+ mental health natural language-processing annotation information extraction electronic health records
Online-Zugang:	https://www.cambridge.org/core/product/identifier/S2056472425108557/type/journal_article
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!