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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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| Udgivet i: | Am J Emerg Med |
|---|---|
| Main Authors: | , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Elsevier Inc.
2021
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| Fag: | |
| Online adgang: | 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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