An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.

Journal: Neurosurgery
Published Date: Feb 1, 2020

Abstract

BACKGROUND: Although survival statistics in patients with glioblastoma multiforme (GBM) are well-defined at the group level, predicting individual patient survival remains challenging because of significant variation within strata.

Authors

  • Joeky T Senders
    Department of Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands; Computational Neurosciences Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Patrick Staples
    Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
  • Alireza Mehrtash
  • David J Cote
    Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
  • Martin J B Taphoorn
    Department of Neurology, Haaglanden Medical Center, The Hague, The Netherlands.
  • David A Reardon
    Department of Radiology, Dana Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
  • William B Gormley
    Computational Neurosciences Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Timothy R Smith
    Computational Neurosciences Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Marike L Broekman
    Department of Neurosurgery, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands.
  • Omar Arnaout
    Computational Neurosciences Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA. Electronic address: oarnaout@bwh.harvard.edu.

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