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Prediction of severe COVID-19 infection at the time of testing: A machine learning approach

2021-10-18

Abstract excerpt

Early and effective detection of severe infection cases during a pandemic can significantly help patient prognosis and resource allocation. We develop a machine learning framework for detecting severe COVID-19 cases at the time of RT-PCR testing. We retrospectively studied 988 patients from a small Canadian province that tested positive for SARS-CoV-2 where 42 (4%) cases were at-risk (i.e., resulted in hospitaliza...

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Literature Corpus work
1491309a-c155-5543-b4b5-64d415583f0f
DOI
10.1101/2021.10.15.21264970
Open publication

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Prediction of severe COVID-19 infection at the time of testing: A machine learning approachDOI 10.1101/2021.10.15.21264970
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