Research output

Predicting Outcome of Endovascular Treatment for Acute Ischemic Stroke: Potential Value of Machine Learning Algorithms

Research output: Contribution to journalArticleAcademicpeer-review

Associated researcher

  • van Os, H. J. A.
  • Ramos, L. A.
  • Hilbert, A.
  • van Leeuwen, M.
  • van Walderveen, M. A. A.
  • Kruyt, N. D.
  • Dippel, D. W. J.
  • Steyerberg, E. W.
  • van der Schaaf, I. C.
  • Lingsma, H. F.
  • Schonewille, W. J.
  • Majoie, C. B. L. M.
  • Olabarriaga, S. D.
  • Zwinderman, K. H.
  • Venema, E.
  • Marquering, H. A.
  • Wermer, M. J. H.
  • MR CLEAN Registry Investigators
  • van Oostenbrugge, R.J.

  • van Zwam, W.H.

Associated organisations

    Research areas

  • ischemic stroke, prediction, machine learning, endovascular treatment, functional outcome, reperfusion, TRAUMATIC BRAIN-INJURY, BREAST-CANCER, SUPER LEARNER, REGRESSION, SELECTION, CHEMOTHERAPY, MODELS, TRIALS, SCORE, RISK
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Original languageEnglish
Article number784
Number of pages8
JournalFrontiers in Neurology
Publication statusPublished - 25 Sep 2018