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

Abstract

Authors

• Saeed Shakibfar
  Department of Drug Design and Pharmacology, Pharmacovigilance Research Center, University of Copenhagen, Copenhagen, Denmark.
• Fredrik Nyberg
  School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
• Huiqi Li
  School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
• Jing Zhao
  Department of Pharmacy, Pharmacoepidemiology and Drug Safety Research Group, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway.
• Hedvig Marie Egeland Nordeng
  Pharmacoepidemiology and Drug Safety Research Group, Department of Pharmacy, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway.
• Geir Kjetil Ferkingstad Sandve
  UiORealArt Convergence Environment, University of Oslo, Oslo, Norway.
• Milena Pavlovic
  UiO: RealArt Convergence Environment, University of Oslo, Oslo, Norway.
• Mohammadhossein Hajiebrahimi
  Department of Pharmacy, Pharmacoepidemiology and Social Pharmacy, Uppsala University, Uppsala, Sweden.
• Morten Andersen
  Department of Drug Design and Pharmacology, Pharmacovigilance Research Center, University of Copenhagen, Copenhagen, Denmark.
• Maurizio Sessa
  Department of Drug Design and Pharmacology, Drug Safety Group, University of Copenhagen, Copenhagen, Denmark.

Keywords

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