Article

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

2025-12-22

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 logistic regression, k-nearest neighbors, decision trees, ensemble al...

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Literature Corpus work: 0f74e28c-fb27-5590-8fcf-2e21b26f90a7
DOI: 10.20944/preprints202512.1803.v1

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