Machine learning methods to predict mechanical ventilation and mortality in patients with COVID-19.

Journal: PloS one
Published Date: Jan 1, 2021

Abstract

BACKGROUND: The Coronavirus disease 2019 (COVID-19) pandemic has affected millions of people across the globe. It is associated with a high mortality rate and has created a global crisis by straining medical resources worldwide.

Authors

  • Limin Yu
    Department of Pathology, Beaumont Hospital, Royal Oak, Michigan.
  • Alexandra Halalau
    Department of Internal Medicine, Beaumont Health System, Royal Oak, MI, United States of America.
  • Bhavinkumar Dalal
    Division of Pulmonary and Critical Care Medicine, Beaumont Health System, Royal Oak, MI, United States of America.
  • Amr E Abbas
    Department of Cardiovascular Medicine, Beaumont Health System, Royal Oak, MI, United States of America.
  • Felicia Ivascu
    Department of General Surgery, Beaumont Health System, Royal Oak, MI, United States of America.
  • Mitual Amin
    Department of Pathology, Beaumont Health System, Royal Oak, MI, United States of America.
  • Girish B Nair
    Division of Pulmonary and Critical Care Medicine, Beaumont Health System, Royal Oak, MI, United States of America.

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