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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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Bibliografske podrobnosti
izdano v:Am J Emerg Med
Main Authors: Li, Matthew D., Wood, Peter A., Alkasab, Tarik K., Lev, Michael H., Kalpathy-Cramer, Jayashree, Succi, Marc D.
Format: Artigo
Jezik:Inglês
Izdano: Elsevier Inc. 2021
Teme:
Online dostop: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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