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

ABSTRACT: 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 basic demographic data for all consecutive patients (n = 1,271) admitted to our vascular center for treatment of aSAH between January 2003 and May 2020 (6,334 days) were collected from our continuously maintained database. The meteorological data of the local weather station, including 13 different weather and climate parameters, were retrieved from Germany's National Meteorological Service for the same period. Six different deep learning models were programmed using the Kera

SUBMITTER: Helsper M 

PROVIDER: S-EPMC8131675 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature