A Hybrid System For Pandemic Evolution Prediction

A Hybrid System For Pandemic Evolution Prediction

The areas of data science and data engineering have experienced strong advances in recent years. This has had a particular impact in areas such as healthcare, where, as a result of the pandemic caused by the COVID-19 virus, technological development has accelerated. This has led to a need to produce...

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Détails bibliographiques
Auteurs principaux: Lilia Muñoz, María Alonso-García, Vladimir Villarreal, Guillermo Hernández, Mel Nielsen, Francisco Pinto-Santos, Amilkar Saavedra, Mariana Areiza, Juan Montenegro, Inés Sittón-Candanedo, Yen Caballero-González, Saber Trabelsi, Juan M. Corchado
Format: Article
Langue:English
Publié: Ediciones Universidad de Salamanca 2022-06-01
Collection:Advances in Distributed Computing and Artificial Intelligence Journal
Sujets:
covid-19
sir model
compartmental models
prediction
long short-term memory
Accès en ligne:https://revistas.usal.es/cinco/index.php/2255-2863/article/view/28093

Internet

https://revistas.usal.es/cinco/index.php/2255-2863/article/view/28093

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