COVID-19 Prognostic Models: A Pro-con Debate for Machine Learning vs. Traditional Statistics
The SARS-CoV-2 virus, which causes the COVID-19 pandemic, has had an unprecedented impact on healthcare requiring multidisciplinary innovation and novel thinking to minimize impact and improve outcomes. Wide-ranging disciplines have collaborated including diverse clinicians (radiology, microbiology,...
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| Main Authors: | , , , , , |
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| Format: | Book |
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Frontiers Media S.A.,
2021-12-01T00:00:00Z.
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