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

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 ba...

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Bibliographic Details
Main Authors: Moritz Helsper, Aashish Agarwal, Ahmet Aker, Annika Herten, Marvin Darkwah-Oppong, Oliver Gembruch, Cornelius Deuschl, Michael Forsting, Philipp Dammann, Daniela Pierscianek, Ramazan Jabbarli, Ulrich Sure, Karsten Henning Wrede
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Neurology
Subjects:
subarachnoid hemorrhage-weather
SAH
hemorrhagic stroke
big-data
deep-learning
subarachanoid hemorrhage
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2021.653483/full

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https://www.frontiersin.org/articles/10.3389/fneur.2021.653483/full

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