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Analysis of Stroke Detection during the COVID-19 Pandemic Using Natural Language Processing of Radiology Reports
BACKGROUND AND PURPOSE: The coronavirus disease 2019 (COVID-19) pandemic has led to decreases in neuroimaging volume. Our aim was to quantify the change in acute or subacute ischemic strokes detected on CT or MR imaging during the pandemic using natural language processing of radiology reports. MATE...
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| Foilsithe in: | AJNR Am J Neuroradiol |
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| Main Authors: | , , , , , , , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
American Society of Neuroradiology
2021
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7959438/ https://ncbi.nlm.nih.gov/pubmed/33334851 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3174/ajnr.A6961 |
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