Applications of Machine Learning in Prognostication of Mild Traumatic Brain Injury: A Systematic Review.

Journal: American journal of physical medicine & rehabilitation
PMID: 38836600

Abstract

OBJECTIVE: The aim of the study is to review the literature regarding the current state and clinical applicability of machine learning models in prognosticating the outcomes of patients with mild traumatic brain injury in the early clinical presentation.

Authors

  • Patrick F Yao
    From the Michael G. DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada (P.F.Y., P.A.G., E.P.M.); Department of Computer Science, University of Western Ontario, London, ON, Canada (M.M.); and Division of Physical Medicine and Rehabilitation, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada (J.L.).
  • Pranjan A Gandhi
  • Eric P McMullen
  • Marlin Manka
  • Jason Liang

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