Full text

Turn on search term navigation

© 2021 Chatterjee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Details

Title
Can predicting COVID-19 mortality in a European cohort using only demographic and comorbidity data surpass age-based prediction: An externally validated study
Author
Chatterjee, Avishek; Wu, Guangyao; Primakov, Sergey; Oberije, Cary; Woodruff, Henry; Kubben, Pieter; Henry, Ronald; Aries, Marcel J H; Beudel, Martijn; Noordzij, Peter G; Dormans, Tom; Niels C Gritters van den Oever; Joop P van den Bergh; Wyers, Caroline E; Simsek, Suat; Douma, Renée; Reidinga, Auke C; de Kruif, Martijn D; Guiot, Julien; Anne-Noelle Frix; Renaud, Louis; Moutschen, Michel; Lovinfosse, Pierre; Lambin, Philippe
First page
e0249920
Section
Research Article
Publication year
2021
Publication date
Apr 2021
Publisher
Public Library of Science
e-ISSN
19326203
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2513232022
Copyright
© 2021 Chatterjee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.