Machine Learning Versus Usual Care for Diagnostic and Prognostic Prediction in the Emergency Department: A Systematic Review.

Journal: Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
Published Date: Jan 2, 2021

Abstract

OBJECTIVE: Having shown promise in other medical fields, we sought to determine whether machine learning (ML) models perform better than usual care in diagnostic and prognostic prediction for emergency department (ED) patients.

Authors

  • Hashim Kareemi
    From the, Department of Emergency Medicine, University of Ottawa, Ottawa, Ontario, Canada.
  • Christian Vaillancourt
    From the, Department of Emergency Medicine, University of Ottawa, Ottawa, Ontario, Canada.
  • Hans Rosenberg
    From the, Department of Emergency Medicine, University of Ottawa, Ottawa, Ontario, Canada.
  • Karine Fournier
    and the, Health Sciences Library, University of Ottawa, Ottawa, Ontario, Canada.
  • Krishan Yadav
    From the, Department of Emergency Medicine, University of Ottawa, Ottawa, Ontario, Canada.

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