Prediction Models in Aneurysmal Subarachnoid Hemorrhage: Forecasting Clinical Outcome With Artificial Intelligence.

Journal: Neurosurgery
Published Date: Apr 15, 2021

Abstract

BACKGROUND: Predicting outcome after aneurysmal subarachnoid hemorrhage (aSAH) is known to be challenging and complex. Machine learning approaches, of which feedforward artificial neural networks (ffANNs) are the most widely used, could contribute to the patient-specific outcome prediction.

Authors

  • Guido de Jong
    Department of Neurosurgery, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
  • RenĂ© Aquarius
    Radboud University Medical Center, Department of Neurosurgery, Radboud University Medical Center, Geert Grooteplein-Zuid 30, Internal post number 633, 6525 GA, Nijmegen, The Netherlands. rene.aquarius@radboudumc.nl.
  • Barof Sanaan
    Department of Neurosurgery, Radboud University Medical Center, Nijmegen, the Netherlands.
  • Ronald H M A Bartels
    Department of Neurosurgery, Radboudumc, Nijmegen, the Netherlands.
  • J AndrĂ© Grotenhuis
    Department of Neurosurgery, Radboud University Medical Center, Nijmegen, the Netherlands.
  • Dylan J H A Henssen
    Department of Medical Imaging, Radboud University Medical Center, Nijmegen, the Netherlands.
  • Hieronymus D Boogaarts
    Department of Neurosurgery, Radboud University Medical Center, Nijmegen, the Netherlands.

Keywords

External Resources

Popular Topics
Recent Journals