Prognostication of Incidence and Severity of Ischemic Stroke in Hot Dry Climate From Environmental and Non-Environmental Predictors

Prognostication of Incidence and Severity of Ischemic Stroke in Hot Dry Climate From Environmental and Non-Environmental Predictors

Background: Recently, rapid fluctuations of ambient temperature were found to be associated with hospital admission for cardiovascular diseases in general and the ischemic stroke in particular. Objective: to test if climatic factors predict the incidence of stroke reliably and to study the predictiv...

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Main Authors: Yauhen Statsenko, Tetiana Habuza, Ekaterina Fursa, Anna Ponomareva, Taleb M. Almansoori, Fatmah Al Zahmi, Klaus Neidl-Van Gorkom, Vasyl Laver, Tatsiana Talako, Miklos Szolics, Alireza Dehdashtian, Jamal Al Koteesh, Milos Ljubisavljevic
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Ethnicity
ischemic stroke
machine learning classification model
middle east
risk
sex
Online Access:https://ieeexplore.ieee.org/document/9775147/

Internet

https://ieeexplore.ieee.org/document/9775147/

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