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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Identifiers and source
- Literature Corpus work
- 6fa255a9-564d-5a17-a82b-b239ae7dd9f2
- DOI
- 10.20944/preprints202509.1425.v1
