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

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

Research output: Contribution to journal › Article › peer-review

DOI

https://doi.org/10.1109/ACCESS.2022.3175302
Final published version

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

Original language	English
Pages (from-to)	58268-58286
Number of pages	19
Journal	IEEE Access
Volume	10
DOIs	https://doi.org/10.1109/ACCESS.2022.3175302
Publication status	Published - 2022
Externally published	Yes

Research areas

Ethnicity, Ischemic stroke, Machine learning classification model, Middle east, Risk, Sex, Weather

OECD FOS+WOS

2.05 MATERIALS ENGINEERING
1.02 COMPUTER AND INFORMATION SCIENCES
2.11 OTHER ENGINEERING AND TECHNOLOGIES

ID: 36566187