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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8771246/
http://dx.doi.org/10.1192/bjo.2021.74

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