Deep learning-based preoperative predictive analytics for patient-reported outcomes following lumbar discectomy: feasibility of center-specific modeling.

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

Abstract

BACKGROUND CONTEXT: There is considerable variability in patient-reported outcome measures following surgery for lumbar disc herniation. Individualized prediction tools that are derived from center- or even surgeon-specific data could provide valuable insights for shared decision-making.

Authors

  • Victor E Staartjes
    Department of Neurosurgery, Bergman Clinics, Naarden, The Netherlands; and.
  • Marlies P de Wispelaere
    Department of Clinical Informatics, Bergman Clinics Amsterdam, Rijksweg 69, 1411 GE Naarden, The Netherlands.
  • William Peter Vandertop
    Neurosurgical Center Amsterdam, Amsterdam University Medical Centers, de Boelelaan 1117, 1081 HV Amsterdam, The Netherlands.
  • Marc L Schröder
    Department of Neurosurgery, Bergman Clinics, Naarden, The Netherlands; and.

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