2023
DOI: 10.7759/cureus.50932
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Predicting COVID-19 Outcomes: Machine Learning Predictions Across Diverse Datasets

Kemal Panç,
Nur Hürsoy,
Mustafa Başaran
et al.

Abstract: BackgroundThe COVID-19 infection has spread rapidly since its emergence and has affected a large part of the global population. With the increasing number of cases, researchers are trying to predict the prognosis of patients by using different data with artificial intelligence methods such as machine learning (ML). In this study, we aimed to predict mortality risk in COVID-19 patients using ML algorithms with different datasets. MethodologyIn this retrospective study, we evaluated the fever, oxygen saturation,… Show more

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