A Hybrid Model for COVID-19 Monitoring and Prediction

A Hybrid Model for COVID-19 Monitoring and Prediction

COVID-19 is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and has a case-fatality rate of 2–3%, with higher rates among elderly patients and patients with comorbidities. Radiologically, COVID-19 is characterised by multifocal ground-glass opacities, even for patients wit...

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Bibliographic Details
Main Authors: Luis Fernando Castillo Ossa, Pablo Chamoso, Jeferson Arango-López, Francisco Pinto-Santos, Gustavo Adolfo Isaza, Cristina Santa-Cruz-González, Alejandro Ceballos-Marquez, Guillermo Hernández, Juan M. Corchado
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Electronics
Subjects:
COVID-19
recurrent neural network
LSTM
compartmental models
curve fitting
prediction
Online Access:https://www.mdpi.com/2079-9292/10/7/799

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https://www.mdpi.com/2079-9292/10/7/799

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