Meteorological factors for subarachnoid hemorrhage in the greater Düsseldorf area revisited: a machine learning approach to predict the probability of admission of patients with subarachnoid hemorrhage.

Journal: Acta neurochirurgica
PMID: 31760531

Abstract

BACKGROUND: Reported data regarding the relation between the incidence of spontaneous subarachnoid hemorrhage (SAH) and weather conditions are conflicting and do so far not allow prognostic models.

Authors

  • Hans-Jakob Steiger
    Department of Neurosurgery, Medical Faculty, Heinrich-Heine-University, Moorenstraße 5, 40225, Düsseldorf, Germany. steiger@uni-duesseldorf.de.
  • Athanasios K Petridis
    Department of Neurosurgery, Medical Faculty, Heinrich-Heine-University, Moorenstraße 5, 40225, Düsseldorf, Germany.
  • Angelo Tortora
    Department of Neurosurgery, Medical Faculty, Heinrich-Heine-University, Moorenstraße 5, 40225, Düsseldorf, Germany.
  • Hendrik-Jan Mijderwijk
    Department of Neurosurgery, Medical Faculty, Heinrich-Heine-University, Moorenstraße 5, 40225, Düsseldorf, Germany.
  • Kerim Beseoglu
    Department of Neurosurgery, Medical Faculty, Heinrich-Heine-University, Moorenstraße 5, 40225, Düsseldorf, Germany.
  • Jasper H van Lieshout
    Department of Neurosurgery, Medical Faculty, Heinrich-Heine-University, Moorenstraße 5, 40225, Düsseldorf, Germany.
  • Marcel A Kamp
    Department of Neurosurgery, Medical Faculty, Heinrich-Heine-University, Moorenstraße 5, 40225, Düsseldorf, Germany.
  • Igor Fischer
    Division of Informatics and Statistics, Department of Neurosurgery, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany.

Keywords

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