Using machine learning to predict COVID-19 infection and severity risk among 4510 aged adults: a UK Biobank cohort study

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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). Among aged adults (69.3 ± 8.6 years) in UK Biobank, COVID-19 data was...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092926/
https://www.ncbi.nlm.nih.gov/pubmed/35545624
http://dx.doi.org/10.1038/s41598-022-07307-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092926/
https://www.ncbi.nlm.nih.gov/pubmed/35545624
http://dx.doi.org/10.1038/s41598-022-07307-z

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