Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project

OBJECTIVES: We sought to use natural language processing to develop a suite of language models to capture key symptoms of severe mental illness (SMI) from clinical text, to facilitate the secondary use of mental healthcare data in research. DESIGN: Development and validation of information extractio...

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Detalles Bibliográficos
Autores principales: Jackson, Richard G, Patel, Rashmi, Jayatilleke, Nishamali, Kolliakou, Anna, Ball, Michael, Gorrell, Genevieve, Roberts, Angus, Dobson, Richard J, Stewart, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2017
Materias:
Mental Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5253558/
https://www.ncbi.nlm.nih.gov/pubmed/28096249
http://dx.doi.org/10.1136/bmjopen-2016-012012

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5253558/
https://www.ncbi.nlm.nih.gov/pubmed/28096249
http://dx.doi.org/10.1136/bmjopen-2016-012012

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