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Who was at risk for COVID-19 late in the US pandemic? Insights from a population health machine learning model

Notable discrepancies in vulnerability to COVID-19 infection have been identified between specific population groups and regions in the USA. The purpose of this study was to estimate the likelihood of COVID-19 infection using a machine-learning algorithm that can be updated continuously based on hea...

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Detalles Bibliográficos
Autores principales:	Adeoye, Elijah A., Rozenfeld, Yelena, Beam, Jennifer, Boudreau, Karen, Cox, Emily J., Scanlan, James M.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Berlin Heidelberg 2022
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9090454/ https://www.ncbi.nlm.nih.gov/pubmed/35538201 http://dx.doi.org/10.1007/s11517-022-02549-5

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