Using machine learning to predict COVID-19 infection and severity risk among 4,510 aged adults: a UK Biobank cohort study

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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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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, Brenner, Nicole, Waterboer, Tim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2021
Materias:
Article
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

Internet

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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