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Predictive modeling of the COVID-19 data using a new version of the flexible Weibull model and machine learning techniques
Bantan, Rashad A R; Ahmad, Zubair; Khan, Faridoon; Elgarhy, Mohammed; Almaspoor, Zahra; Hamedani, G G; El-Morshedy, Mahmoud; Gemeay, Ahmed M.
Afiliación
  • Bantan RAR; Department of Marine Geology, Faculty of Marine Science, King Abdulaziz University, Jeddah 21551, Saudi Arabia.
  • Ahmad Z; Department of Statistics, Yazd University, P.O. Box 89175-741, Yazd, Iran.
  • Khan F; PIDE School of Economics, Islamabad 44000, Pakistan.
  • Elgarhy M; The Higher Institute of Commercial Sciences, Al mahalla Al kubra, Algarbia 31951, Egypt.
  • Almaspoor Z; Department of Statistics, Yazd University, P.O. Box 89175-741, Yazd, Iran.
  • Hamedani GG; Department of Mathematical and Statistical Sciences, Marquette University, Milwaukee, WI, USA.
  • El-Morshedy M; Department of Mathematics, College of Science and Humanities in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.
  • Gemeay AM; Department of Mathematics, Faculty of Science, Mansoura University, Mansoura 35516, Egypt.
Math Biosci Eng ; 20(2): 2847-2873, 2023 01.
Article en En | MEDLINE | ID: mdl-36899561
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Math Biosci Eng Año: 2023 Tipo del documento: Article País de afiliación: Arabia Saudita Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Math Biosci Eng Año: 2023 Tipo del documento: Article País de afiliación: Arabia Saudita Pais de publicación: Estados Unidos