Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review

Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review

AimTo perform a systematic review on the use of Artificial Intelligence (AI) techniques for predicting COVID-19 hospitalization and mortality using primary and secondary data sources.Study eligibility criteriaCohort, clinical trials, meta-analyses, and observational studies investigating COVID-19 ho...

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Bibliographic Details
Main Authors: Saeed Shakibfar, Fredrik Nyberg, Huiqi Li, Jing Zhao, Hedvig Marie Egeland Nordeng, Geir Kjetil Ferkingstad Sandve, Milena Pavlovic, Mohammadhossein Hajiebrahimi, Morten Andersen, Maurizio Sessa
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Public Health
Subjects:
AI
COVID-19
pharmacoepidemiology
bias
PROBAST
predictive modeling
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2023.1183725/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2023.1183725/full

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