Development of Machine Learning Algorithms for Prediction of 30-Day Mortality After Surgery for Spinal Metastasis.

Journal: Neurosurgery
Published Date:

Abstract

BACKGROUND: Preoperative prognostication of short-term postoperative mortality in patients with spinal metastatic disease can improve shared decision making around end-of-life care.

Authors

  • Aditya V Karhade
    Computational Neurosciences Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Quirina C B S Thio
    Q. C. B. S. Thio, A. V. Karhade, P. T. Ogink, K. Raskin, S. Lozano-Calderon, J. H. Schwab, Division of Orthopaedic Oncology, Department of Orthopaedics, Massachusetts General Hospital-Harvard Medical School, Boston, MA, USA K. de Amorim Bernstein, Department of Radiation Oncology, Massachusetts General Hospital-Harvard Medical School, Boston, MA, USA.
  • Paul T Ogink
  • Akash A Shah
    David Geffen School of Medicine UCLA, Los Angeles, CA, USA.
  • Christopher M Bono
    1Department of Orthopedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
  • Kevin S Oh
    Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
  • Phil J Saylor
    Department of Hematology/Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
  • Andrew J Schoenfeld
    Department of Orthopedic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • John H Shin
    2Department of Neurosurgery, Harvard Medical School, Cambridge, Massachusetts.
  • Mitchel B Harris
    Department of Orthopaedic Surgery, 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.