Automated tracking of emergency department abdominal CT findings during the COVID-19 pandemic using natural language processing

PURPOSE: During the COVID-19 pandemic, emergency department (ED) volumes have fluctuated. We hypothesized that natural language processing (NLP) models could quantify changes in detection of acute abdominal pathology (acute appendicitis (AA), acute diverticulitis (AD), or bowel obstruction (BO)) on...

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Detalhes bibliográficos
Publicado no:Am J Emerg Med
Main Authors: Li, Matthew D., Wood, Peter A., Alkasab, Tarik K., Lev, Michael H., Kalpathy-Cramer, Jayashree, Succi, Marc D.
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier Inc. 2021
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8154187/
https://ncbi.nlm.nih.gov/pubmed/34062318
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ajem.2021.05.057
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