The Subarachnoid Hemorrhage–Weather Myth: A Long-Term Big Data and Deep Learning Analysis

Objective: The frequency of aneurysmal subarachnoid hemorrhage (aSAH) presents complex fluctuations that have been attributed to weather and climate changes in the past. In the present long-term big data and deep learning analysis, we have addressed this long-held myth. Methods: Bleeding dates and b...

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Bibliographic Details
Published in:	Frontiers in neurology 2021-05, Vol.12, p.653483
Main Authors:	Helsper, Moritz, Agarwal, Aashish, Aker, Ahmet, Herten, Annika, Darkwah-Oppong, Marvin, Gembruch, Oliver, Deuschl, Cornelius, Forsting, Michael, Dammann, Philipp, Pierscianek, Daniela, Jabbarli, Ramazan, Sure, Ulrich, Wrede, Karsten Henning
Format:	Article
Language:	English
Subjects:	big-data deep-learning hemorrhagic stroke Neurology SAH subarachanoid hemorrhage subarachnoid hemorrhage-weather
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