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Identifying COVID-19 phenotypes using cluster analysis and assessing their clinical outcomes

2022-05-29

Abstract excerpt

Multiple clinical phenotypes have been proposed for COVID-19, but few have stemmed from data-driven methods. We aimed to identify distinct phenotypes in patients admitted with COVID-19 using cluster analysis, and compare their respective characteristics and clinical outcomes. We analyzed the data from 547 patients hospitalized with COVID-19 in a Canadian academic hospital from January 1, 2020, to January 30, 2021....

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Literature Corpus work
8f34f60a-4ef4-5910-bd5d-a70018efc39b
DOI
10.1101/2022.05.27.22275708
Open publication

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Identifying COVID-19 phenotypes using cluster analysis and assessing their clinical outcomesDOI 10.1101/2022.05.27.22275708
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