Development of a machine learning algorithm for prediction of failure of nonoperative management in spinal epidural abscess.

Journal: The spine journal : official journal of the North American Spine Society
Published Date: Oct 1, 2019

Abstract

BACKGROUND CONTEXT: Data regarding risk of failure of nonoperative management in spinal epidural abscess (SEA) are limited. Given the potential for deterioration with treatment failure, a tool that predicts the probability of failure would be of great clinical utility.

Authors

  • Akash A Shah
    David Geffen School of Medicine UCLA, Los Angeles, CA, USA.
  • Aditya V Karhade
    Computational Neurosciences Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Christopher M Bono
    1Department of Orthopedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
  • Mitchel B Harris
    Department of Orthopaedic Surgery, Massachusetts General Hospital, Boston, MA, USA.
  • Sandra B Nelson
    Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
  • Joseph H Schwab
    Department of Orthopedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA. Electronic address: jhschwab@mgh.harvard.edu.

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