Maksym Sokolenko on Muck Rack

Maksym Sokolenko

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Articles

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

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By Larysa Sydorchuk, Maksym Sokolenko, Denys Nevinskyi, Yaroslav Vyklyuk
| preprints.org
Submitted: 18 December 2025 You are already at the latest version For machine-learning analysis, a dataset consisting of 226 observations with 68 features obtained from 257 COVID-19 patients was used.
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Management of Severe COVID-19 Diagnosis Using Machine Learning

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By Larysa Sydorchuk, Maksym Sokolenko, Yaroslav Vyklyuk, Daniel Lajcin
| preprints.org
Submitted: 16 September 2025 Posted: 18 September 2025 You are already at the latest version For Machine Learning (ML) analysis, we utilized a dataset comprising 226 observations with 68 clinical, biochemical, and genetic features collected from 257 patients with confirmed COVID-19 (197 with moderate-to-severe disease and 60 with mild disease).
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Antiviral Intervention of COVID-19: Linkage of Disease Severity with Genetic Markers FGB (rs1800790), NOS3 (rs2070744) and TMPRSS2 (rs12329760)

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By Maksym Sokolenko, Larysa Sydorchuk, Alina Sokolenko, Ruslan Sydorchuk
| preprints.org
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