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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Cold Spring Harbor Laboratory
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302228/ https://www.ncbi.nlm.nih.gov/pubmed/32577673 http://dx.doi.org/10.1101/2020.06.09.20127092 |
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por Willette, Auriel A., Willette, Sara A., Wang, Qian, Pappas, Colleen, Klinedinst, Brandon S., Le, Scott, Larsen, Brittany, Pollpeter, Amy, Li, Tianqi, Mochel, Jonathan P., Allenspach, Karin, Brenner, Nicole, Waterboer, Tim
Publicado 2022
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Publicado 2022
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Online
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