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Using machine learning to predict COVID-19 infection and severity risk among 4,510 aged adults: a UK Biobank cohort study
BACKGROUND: Many risk factors have emerged for novel 2019 coronavirus disease (COVID-19). It is relatively unknown how these factors collectively predict COVID-19 infection risk, as well as risk for a severe infection (i.e., hospitalization). METHODS: Among aged adults (69.3 ± 8.6 years) in UK Bioba...
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| Publicado no: | medRxiv |
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| Main Authors: | , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Cold Spring Harbor Laboratory
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7302228/ https://ncbi.nlm.nih.gov/pubmed/32577673 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/2020.06.09.20127092 |
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