Predicting the COVID-19 in the Metropolitan Region (Chile) using a GCN-LSTM neural network

Keyphrases

• Chile 100%
• Metropolitan Regions 100%
• Long Short-term Memory Neural Network 100%
• COVID-19 100%
• COVID-19 Cases 100%
• Graph Convolutional Network 100%
• Making Decisions 50%
• Spatial Correlation 50%
• Neural Network 50%
• Spatiotemporal 50%
• Long Short-term Memory 50%
• Healthcare Staff 50%
• Temporal Correlation 50%
• SIR Model 50%
• Medical Supplies 50%
• Graph Network 50%
• COVID-19 Incidence 50%
• LSTM Network 50%
• Mobility Limitation 50%
• Medical Health 50%
• Temporal Rates 50%
• Mathematical Epidemiological Model 50%
• Generalized Additive Model 50%
• SEIR Model 50%
• Daily Data 50%

Computer Science

• Long Short-Term Memory Network 100%
• Long Short-Term Memory Neural Network 100%
• Graph Convolutional Network 100%
• Neural Network 50%
• Temporal Correlation 50%
• Spatial Correlation 50%
• Incidence Rate 50%

Mathematics

• Neural Network 100%
• Spatial Correlation 50%
• Temporal Correlation 50%
• SIR Model 50%
• Incidence Rate 50%
• Generalized Additive Model 50%