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Article

Management of Severe COVID-19 Diagnosis Using Machine Learning

2025-09-18

Abstract excerpt

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). The feature set included demographic variables (age, sex), genetic markers (single-nucleotide polymorphisms (SNPs) in FGB (rs1800790), NOS3 (rs2070744), and TMPRSS...

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Literature Corpus work
6fa255a9-564d-5a17-a82b-b239ae7dd9f2
DOI
10.20944/preprints202509.1425.v1
Open publication

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Management of Severe COVID-19 Diagnosis Using Machine LearningDOI 10.20944/preprints202509.1425.v1
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