COVID-19 studies involving machine learning methods: A bibliometric study.

Journal: Medicine
Published Date: Oct 27, 2023

Abstract

BACKGROUND: Machine learning (ML) and artificial intelligence (AI) techniques are gaining popularity as effective tools for coronavirus disease of 2019 (COVID-19) research. These strategies can be used in diagnosis, prognosis, therapy, and public health management. Bibliometric analysis quantifies the quality and impact of scholarly publications. ML in COVID-19 research is the focus of this bibliometric analysis.

Authors

  • Arzu Baygül Eden
    Koç University, School of Medicine, Department of Biostatistics, Istanbul, Turkey.
  • Alev Bakir Kayi
    Istanbul University, Institute of Child Health, Department of Social Pediatrics, Istanbul, Türkiye.
  • Mustafa Genco Erdem
    Department of Internal Medicine, Faculty of Medicine, Beykent University, Istanbul, Turkey.
  • Mehmet Demirci
    Department of Medical Microbiology, Faculty of Medicine, Kirklareli University, Kirklareli, Turkey.

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