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Evaluating predictive hybrid neural network models in spatiotemporal context: An application on Influenza outbreak predictions

2023-12-29

Abstract excerpt

<title>Abstract</title> <p>In the rigorous and varied field of infectious disease outbreak modeling, there remains a notable gap in addressing the spatiotemporal challenges present in established models. This study aimed to fill this gap by evaluating four already established hybrid neural network models designed to predict influenza outbreaks, given that influenza is a major infectious disease. These models were...

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Literature Corpus work
70526902-5f9c-5a7c-b0bd-de9fca793a7b
DOI
10.21203/rs.3.rs-3799365/v1
Open publication

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Evaluating predictive hybrid neural network models in spatiotemporal context: An application on Influenza outbreak predictionsDOI 10.21203/rs.3.rs-3799365/v1
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