Article

Machine Learning Models in Classifying, Predicting and Managing COVID-19 Severity

2026-01-27

Abstract excerpt

For machine-learning analysis, a dataset consisting of 226 observations with 68 features obtained from 257 COVID-19 patients was used. To identify the most effective models for predicting COVID-19 severity, an extensive evaluation of available classifiers from the Scikit-learn library with default hyperparameter settings was conducted, including lo-gistic regression, k-nearest neighbors, decision trees, ensemble a...

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Literature Corpus work: b03c80fa-317d-589c-9072-be8b58a4358f
DOI: 10.20944/preprints202512.1803.v2

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