Artificial intelligence effectively predicts the COVID-19 death rate in different UK cities

Autor: Reza Yarbakhsh, Seyed Ali Reza Mortazavi, SM Javad Mortazavi, Hossein Parsaei, Dana Rad
Rok vydání: 2022
Předmět:
Zdroj: Journal of Intelligent & Fuzzy Systems. 43:1853-1857
ISSN: 1875-8967
1064-1246
DOI: 10.3233/jifs-219286
Popis: The emergence of a new variant of SARS-CoV-2 in the UK that is spreading more rapidly has raised great concerns not only in the UK but also whole Europe and other parts of the globe. The newly identified variant of SARS-CoV-2 that is reported to be more contagious has prompted many countries to ban travel to and from the UK. As of April 2, 2021, nearly 4.35 million confirmed cases of coronavirus (COVID-19) have been reported in the UK out of which more than 127,000 people have died. These numbers reveal a need for predictor models to assist with management, prevention, and treatment decisions. Here, we presented an Artificial Intelligence (AI) model to predict the death rate in various cities of the United Kingdom. Training and testing the model using the data available on the European data portal showed promising results with predicted R2 = 0.88.
Databáze: OpenAIRE
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