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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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| Pubblicato in: | J Clin Transl Sci |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Cambridge University Press
2018
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| Soggetti: | |
| Accesso online: | 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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