Machine learning approach to dynamic risk modeling of mortality in COVID-19: a UK Biobank study

Machine learning approach to dynamic risk modeling of mortality in COVID-19: a UK Biobank study

Abstract The COVID-19 pandemic has created an urgent need for robust, scalable monitoring tools supporting stratification of high-risk patients. This research aims to develop and validate prediction models, using the UK Biobank, to estimate COVID-19 mortality risk in confirmed cases. From the 11,245...

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Autores principales: Mohammad A. Dabbah, Angus B. Reed, Adam T. C. Booth, Arrash Yassaee, Aleksa Despotovic, Benjamin Klasmer, Emily Binning, Mert Aral, David Plans, Davide Morelli, Alain B. Labrique, Diwakar Mohan
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/9352a4ce63234c028f61bb338256452d
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https://doaj.org/article/9352a4ce63234c028f61bb338256452d

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