2182: Developing a corpus for natural language processing to identify bleeding complications among intensive care unit patients

OBJECTIVES/SPECIFIC AIMS: An accurate method to identify bleeding in large populations does not exist. Our goal was to explore bleeding representation in clinical text in order to develop a natural language processing (NLP) approach to automatically identify bleeding events from clinical notes. METH...

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Detalles Bibliográficos
Autores principales: Shah, Rashmee, Steinberg, Benjamin, Bucher, Brian, Chapman, Alec, Lloyd-Jones, Donald, Rondina, Matthew, Chapman, Wendy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2018
Materias:
Biomedical Informatics/Health Informatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6799302/
http://dx.doi.org/10.1017/cts.2017.60

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6799302/
http://dx.doi.org/10.1017/cts.2017.60

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