COVID-19 machine learning model predicts outcomes in older patients from various European countries, between pandemic waves, and in a cohort of Asian, African, and American patients

COVID-19 machine learning model predicts outcomes in older patients from various European countries, between pandemic waves, and in a cohort of Asian, African, and American patients

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<h4>Background</h4> COVID-19 remains a complex disease in terms of its trajectory and the diversity of outcomes rendering disease management and clinical resource allocation challenging. Varying symptomatology in older patients as well as limitation of clinical scoring systems have creat...

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Bibliographic Details
Main Authors: Behrooz Mamandipoor, Raphael Romano Bruno, Bernhard Wernly, Georg Wolff, Jesper Fjølner, Antonio Artigas, Bernardo Bollen Pinto, Joerg C. Schefold, Malte Kelm, Michael Beil, Sviri Sigal, Susannah Leaver, Dylan W. De Lange, Bertrand Guidet, Hans Flaatten, Wojciech Szczeklik, Christian Jung, Venet Osmani
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-11-01
Series:PLOS Digital Health
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931233/?tool=EBI

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931233/?tool=EBI

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