A Review of the Potential of Artificial Intelligence Approaches to Forecasting COVID-19 Spreading

A Review of the Potential of Artificial Intelligence Approaches to Forecasting COVID-19 Spreading

The spread of SARS-CoV-2 can be considered one of the most complicated patterns with a large number of uncertainties and nonlinearities. Therefore, analysis and prediction of the distribution of this virus are one of the most challenging problems, affecting the planning and managing of its impacts....

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Bibliographic Details
Main Authors: Mohammad Behdad Jamshidi, Sobhan Roshani, Jakub Talla, Ali Lalbakhsh, Zdeněk Peroutka, Saeed Roshani, Fariborz Parandin, Zahra Malek, Fatemeh Daneshfar, Hamid Reza Niazkar, Saeedeh Lotfi, Asal Sabet, Mojgan Dehghani, Farimah Hadjilooei, Maryam S. Sharifi-Atashgah, Pedram Lalbakhsh
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:AI
Subjects:
artificial intelligence
COVID-19
deep learning
epidemiological disease
machine learning
LSTM
Online Access:https://www.mdpi.com/2673-2688/3/2/28

Internet

https://www.mdpi.com/2673-2688/3/2/28

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