Predicting Surgical Complications in Patients Undergoing Elective Adult Spinal Deformity Procedures Using Machine Learning.

Journal: Spine deformity
Published Date: Jan 1, 2018

Abstract

STUDY DESIGN: Cross-sectional database study.

Authors

  • Jun S Kim
    Department of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Varun Arvind
    Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Eric K Oermann
    Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Deepak Kaji
    Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Will Ranson
    Department of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
  • Chierika Ukogu
    Department of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
  • Awais K Hussain
    Department of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
  • John Caridi
    Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
  • Samuel K Cho
    Department of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Keywords

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