# Correction: Identification of patient demographic, clinical, and SARS-CoV-2 genomic factors associated with severe COVID-19 using supervised machine learning: a retrospective multicenter study

**Authors:** Kuganya Nirmalarajah, Patryk Aftanas, Shiva Barati, Emily Chien, Gloria Crowl, Amna Faheem, Lubna Farooqi, Alainna J. Jamal, Saman Khan, Jonathon D. Kotwa, Angel X. Li, Mohammad Mozafarihashjin, Jalees A. Nasir, Altynay Shigayeva, Winfield Yim, Lily Yip, Xi Zoe Zhong, Kevin Katz, Robert Kozak, Andrew G. McArthur, Nick Daneman, Finlay Maguire, Allison J. McGeer, Venkata R. Duvvuri, Samira Mubareka

PMC · DOI: 10.1186/s12879-025-11828-z · BMC Infectious Diseases · 2025-10-16

## Full-text entities

- **Diseases:** COVID-19 (MESH:D000086382)
- **Species:** Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049], Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

1 references — full list in the complete paper: https://tomesphere.com/paper/PMC12532437/full.md

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Source: https://tomesphere.com/paper/PMC12532437