Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic.

El-Rashidy, Nora; Abdelrazik, Samir; Abuhmed, Tamer; Amer, Eslam; Ali, Farman; Hu, Jong-Wan; El-Sappagh, Shaker

El-Rashidy, Nora; Abdelrazik, Samir; Abuhmed, Tamer; Amer, Eslam; Ali, Farman; Hu, Jong-Wan; El-Sappagh, Shaker.

Afiliación

El-Rashidy N; Machine Learning and Information Retrieval Department, Faculty of Artificial Intelligence, Kafrelsheiksh University, Kafrelsheiksh 13518, Egypt.
Abdelrazik S; Information System Department, Faculty of Computer Science and Information Systems, Mansoura University, Mansoura 13518, Egypt.
Abuhmed T; College of Computing and Informatics, Sungkyunkwan University, Seoul 03063, Korea.
Amer E; Faculty of Computer Science, Misr International University, Cairo 11828, Egypt.
Ali F; Department of Software, Sejong University, Seoul 05006, Korea.
Hu JW; Department of Civil and Environmental Engineering, Incheon National University, Incheon 22012, Korea.
El-Sappagh S; Centro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS), Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain.

Diagnostics (Basel) ; 11(7)2021 Jun 24.

Article en En | MEDLINE | ID: mdl-34202587

Palabras clave

COVID_19; artificial intelligence; deep learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 Problema de salud: 2_cobertura_universal Idioma: En Revista: Diagnostics (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Egipto

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