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Identifying perinatal self-harm in electronic healthcare records using natural language processing

AIMS: 1.To generate a Natural Language Processing (NLP) application that can identify mentions of perinatal self-harm among electronic healthcare records (EHRs) 2.To use this application to estimate the prevalence of perinatal self-harm within a data-linkage cohort of women accessing secondary menta...

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Detalles Bibliográficos
Autores principales:	Ayre, Karyn, Bittar, Andre, Dutta, Rina, Verma, Somain, Kam, Joyce
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Cambridge University Press 2021
Materias:	Rapid-Fire Poster Presentations
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8771246/ http://dx.doi.org/10.1192/bjo.2021.74

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