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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Dettagli Bibliografici
Pubblicato in:Front Neurol
Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: Frontiers Media S.A. 2021
Soggetti:
Neurology
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC8131675/
https://ncbi.nlm.nih.gov/pubmed/34025556
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fneur.2021.653483
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