Development and Prospective Validation of a Deep Learning Algorithm for Predicting Need for Mechanical Ventilation.

Journal: Chest
PMID:

Abstract

BACKGROUND: Objective and early identification of hospitalized patients, and particularly those with novel coronavirus disease 2019 (COVID-19), who may require mechanical ventilation (MV) may aid in delivering timely treatment.

Authors

  • Supreeth P Shashikumar
  • Gabriel Wardi
    Emergency Medicine, University of California San Diego, La Jolla, California, USA.
  • Paulina Paul
    Department of Biomedical Informatics, University of California, San Diego, La Jolla, CA.
  • Morgan Carlile
    Department of Emergency Medicine, University of California, San Diego, La Jolla, CA.
  • Laura N Brenner
    Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA.
  • Kathryn A Hibbert
    Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA.
  • Crystal M North
    Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA.
  • Shibani S Mukerji
    Department of Neurology, Massachusetts General Hospital, Boston, MA.
  • Gregory K Robbins
    Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA.
  • Yu-Ping Shao
    Department of Neurology, Massachusetts General Hospital, Boston, MA.
  • M Brandon Westover
    Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
  • Shamim Nemati
    Department of Biomedical Informatics, Emory School of Medicine, Atlanta, GA, USA.
  • Atul Malhotra
    Division of Pulmonary, Critical Care, and Sleep Medicine, University of California, San Diego, La Jolla, CA. Electronic address: amalhotra@health.ucsd.edu.