Cargando…
Artificial Intelligence for Forecasting the Prevalence of COVID-19 Pandemic: An Overview
Since the discovery of COVID-19 at the end of 2019, a significant surge in forecasting publications has been recorded. Both statistical and artificial intelligence (AI) approaches have been reported; however, the AI approaches showed a better accuracy compared with the statistical approaches. This s...
Autores principales: | Elsheikh, Ammar H., Saba, Amal I., Panchal, Hitesh, Shanmugan, Sengottaiyan, Alsaleh, Naser A., Ahmadein, Mahmoud |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700845/ https://www.ncbi.nlm.nih.gov/pubmed/34946340 http://dx.doi.org/10.3390/healthcare9121614 |
Ejemplares similares
-
Efficient artificial intelligence forecasting models for COVID-19 outbreak in Russia and Brazil
por: Al-qaness, Mohammed A.A., et al.
Publicado: (2021) -
Boosting COVID-19 Image Classification Using MobileNetV3 and Aquila Optimizer Algorithm
por: Abd Elaziz, Mohamed, et al.
Publicado: (2021) -
Forecasting the prevalence of COVID-19 outbreak in Egypt using nonlinear autoregressive artificial neural networks
por: Saba, Amal I., et al.
Publicado: (2020) -
Optimization of Abrasive Water Jet Machining of SiC Reinforced Aluminum Alloy Based Metal Matrix Composites Using Taguchi–DEAR Technique
por: Thangaraj, Muthuramalingam, et al.
Publicado: (2021) -
Deep learning-based forecasting model for COVID-19 outbreak in Saudi Arabia
por: Elsheikh, Ammar H., et al.
Publicado: (2021)