Machine learning-driven development of a disease risk score for COVID-19 hospitalization and mortality: a Swedish and Norwegian register-based study

AimsTo develop a disease risk score for COVID-19-related hospitalization and mortality in Sweden and externally validate it in Norway.MethodWe employed linked data from the national health registries of Sweden and Norway to conduct our study. We focused on individuals in Sweden with confirmed SARS-C...

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Bibliographic Details

Published in:	Frontiers in Public Health
Main Authors:	Saeed Shakibfar, Jing Zhao, Huiqi Li, Hedvig Nordeng, Angela Lupattelli, Milena Pavlovic, Geir Kjetil Sandve, Fredrik Nyberg, Björn Wettermark, Mohammadhossein Hajiebrahimi, Morten Andersen, Maurizio Sessa
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-12-01
Subjects:	COVID-19 machine learning disease risk score prediction modeling artificial intelligence
Online Access:	https://www.frontiersin.org/articles/10.3389/fpubh.2023.1258840/full