Deep Spatiotemporal Model for COVID-19 Forecasting

Deep Spatiotemporal Model for COVID-19 Forecasting

COVID-19 has caused millions of infections and deaths over the last 2 years. Machine learning models have been proposed as an alternative to conventional epidemiologic models in an effort to optimize short-and medium-term forecasts that will help health authorities to optimize the use of policies an...

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Bibliographic Details
Main Authors: Muñoz-Organero, M. (Author), Queipo-álvarez, P. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Convolutional neural networks
COVID-19 forecasting
deep learning
Deep learning
Diseases
Forecasting
Learning models
Long short-term memory
machine learning
Machine learning models
Mean square error
Medium term
model optimization
Model optimization
Model-based OPC
Pattern analysis
SARS
Short term
spatiotemporal model
Spatio-temporal models
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