Machine Learning Algorithm Identifies Patients at High Risk for Early Complications After Intracranial Tumor Surgery: Registry-Based Cohort Study.

Journal: Neurosurgery
Published Date: Oct 1, 2019

Abstract

INTRODUCTION: Reliable preoperative identification of patients at high risk for early postoperative complications occurring within 24 h (EPC) of intracranial tumor surgery can improve patient safety and postoperative management. Statistical analysis using machine learning algorithms may generate models that predict EPC better than conventional statistical methods.

Authors

  • Christiaan H B van Niftrik
    1Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland.
  • Frank van der Wouden
    Department of Geography, University of California - Los Angeles, United States of America.
  • Victor E Staartjes
    Department of Neurosurgery, Bergman Clinics, Naarden, The Netherlands; and.
  • Jorn Fierstra
    Department of Neurosurgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
  • Martin N Stienen
    Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland.
  • Kevin Akeret
    1Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland.
  • Martina Sebök
    Department of Neurosurgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
  • Tommaso Fedele
    Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland.
  • Johannes Sarnthein
    Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland.
  • Oliver Bozinov
    Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland.
  • Niklaus Krayenbühl
    Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland.
  • Luca Regli
    Department of Neurosurgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
  • Carlo Serra
    1Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland.

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