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Article

Prediction of Severe COVID-19 Infection at the Time of Testing: A Machine Learning Approach

2022-11-02

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
6034e75b-8805-5e9a-8540-744c87534269
DOI
10.2139/ssrn.4243428
Open publication

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Prediction of Severe COVID-19 Infection at the Time of Testing: A Machine Learning ApproachDOI 10.2139/ssrn.4243428
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