Data Analysis and Forecasting of the COVID-19 Spread: A Comparison of Recurrent Neural Networks and Time Series Models

To understand and approach the spread of the SARS-CoV-2 epidemic, machine learning offers fundamental tools. This study presents the use of machine learning techniques for projecting COVID-19 infections and deaths in Mexico. The research has three main objectives: first, to identify which function a...

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Detalles Bibliográficos
Autores principales: Gomez-Cravioto, Daniela A., Diaz-Ramos, Ramon E., Cantu-Ortiz, Francisco J., Ceballos, Hector G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8175062/
https://www.ncbi.nlm.nih.gov/pubmed/34104256
http://dx.doi.org/10.1007/s12559-021-09885-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8175062/
https://www.ncbi.nlm.nih.gov/pubmed/34104256
http://dx.doi.org/10.1007/s12559-021-09885-y

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