Comparative analysis of the machine learning models determining COVID-19 patient risk levels

Comparative analysis of the machine learning models determining COVID-19 patient risk levels

The COVID-19 pandemic has posed unprecedented challenges to global healthcare systems, emphasizing the need for predictive tools for resource allocation and patient care. This study delves into the potential of machine learning models to predict the risk levels of COVID-19 patients using a comprehen...

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Bibliographic Details
Main Authors: Kseniia Bazilevych, Olena Kyrylenko, Yurii Parfenyuk, Serhii Krivtsov, Ievgen Meniailov, Victoriya Kuznietcova, Dmytro Chumachenko
Format: Article
Language:English
Published: National Aerospace University «Kharkiv Aviation Institute» 2023-09-01
Series:Радіоелектронні і комп'ютерні системи
Subjects:
patient state determination
classification
machine learning
covid-19
bayes criterion
logistic regression
gradient boosting
Online Access:http://nti.khai.edu/ojs/index.php/reks/article/view/2102

Internet

http://nti.khai.edu/ojs/index.php/reks/article/view/2102

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