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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Vydáno v:J Clin Transl Sci
Hlavní autoři: Shah, Rashmee, Steinberg, Benjamin, Bucher, Brian, Chapman, Alec, Lloyd-Jones, Donald, Rondina, Matthew, Chapman, Wendy
Médium: Artigo
Jazyk:Inglês
Vydáno: Cambridge University Press 2018
Témata:
Biomedical Informatics/Health Informatics
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6799302/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1017/cts.2017.60
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