Machine learning improves prediction of delayed cerebral ischemia in patients with subarachnoid hemorrhage.

Journal: Journal of neurointerventional surgery
Published Date: May 1, 2019

Abstract

BACKGROUND AND PURPOSE: Delayed cerebral ischemia (DCI) is a severe complication in patients with aneurysmal subarachnoid hemorrhage. Several associated predictors have been previously identified. However, their predictive value is generally low. We hypothesize that Machine Learning (ML) algorithms for the prediction of DCI using a combination of clinical and image data lead to higher predictive accuracy than previously applied logistic regressions.

Authors

  • Lucas Alexandre Ramos
    Department of Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, The Netherlands.
  • Wessel E van der Steen
    Department of Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, The Netherlands.
  • Renan Sales Barros
    Department of Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, The Netherlands.
  • Charles B L M Majoie
    Department of Radiology and Nuclear Medicine, Academic Medical Center, Amsterdam, The Netherlands.
  • Rene van den Berg
    Department of Radiology and Nuclear Medicine, Academic Medical Center, Amsterdam, The Netherlands.
  • Dagmar Verbaan
    Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, Amsterdam, The Netherlands.
  • W Peter Vandertop
    Department of Neurosurgery, VU University Medical Center, Cancer Center Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands; Brain Tumor Center Amsterdam, VU University Medical Center, Cancer Center Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands.
  • I Jsbrand Andreas Jan Zijlstra
    Department of Radiology and Nuclear Medicine, Academic Medical Center, Amsterdam, The Netherlands.
  • A H Zwinderman
    Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, Amsterdam, The Netherlands.
  • Gustav J Strijkers
    Department of Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, The Netherlands.
  • Silvia Delgado Olabarriaga
    Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, Amsterdam, The Netherlands.
  • Henk A Marquering
    Department of Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, The Netherlands.

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