Text mining occupations from the mental health electronic health record: a natural language processing approach using records from the Clinical Record Interactive Search (CRIS) platform in south London, UK

OBJECTIVES: We set out to develop, evaluate and implement a novel application using natural language processing to text mine occupations from the free-text of psychiatric clinical notes. DESIGN: Development and validation of a natural language processing application using General Architecture for Te...

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Detalles Bibliográficos
Autores principales: Chilman, Natasha, Song, Xingyi, Roberts, Angus, Tolani, Esther, Stewart, Robert, Chui, Zoe, Birnie, Karen, Harber-Aschan, Lisa, Gazard, Billy, Chandran, David, Sanyal, Jyoti, Hatch, Stephani, Kolliakou, Anna, Das-Munshi, Jayati
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Health Informatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996661/
https://www.ncbi.nlm.nih.gov/pubmed/33766838
http://dx.doi.org/10.1136/bmjopen-2020-042274

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996661/
https://www.ncbi.nlm.nih.gov/pubmed/33766838
http://dx.doi.org/10.1136/bmjopen-2020-042274

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