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The severity assessment and nucleic acid turning-negative-time prediction in COVID-19 patients with COPD using a fused deep learning model

2024-04-19

Abstract excerpt

<title>Abstract</title> <p>Background Previous studies have shown that patients with pre-existing chronic pulmonary inflammations of chronic obstructive pulmonary diseases (COPD) were more likely to be infected with COVID-19 and lead to more severe lung lesions. However, few studies have explored the severity and prognosis of COVID-19 patients with different phenotypes of COPD. Purpose The aim of this study to...

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Literature Corpus work
4a9ab7b1-120c-5787-ac47-a7cf2082a991
DOI
10.21203/rs.3.rs-4206078/v1
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The severity assessment and nucleic acid turning-negative-time prediction in COVID-19 patients with COPD using a fused deep learning modelDOI 10.21203/rs.3.rs-4206078/v1
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