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Fusion of intelligent learning for COVID-19: A state-of-the-art review and analysis on real medical data

The unprecedented surge of a novel coronavirus in the month of December 2019, named as COVID-19 by the World Health organization has caused a serious impact on the health and socioeconomic activities of the public all over the world. Since its origin, the number of infected and deceased cases has be...

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Detalles Bibliográficos
Autores principales: Ding, Weiping, Nayak, Janmenjoy, Swapnarekha, H., Abraham, Ajith, Naik, Bighnaraj, Pelusi, Danilo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206574/
https://www.ncbi.nlm.nih.gov/pubmed/34149184
http://dx.doi.org/10.1016/j.neucom.2021.06.024