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LSTM-based recurrent neural network provides effective short term flu forecasting
BACKGROUND: Influenza virus is responsible for a yearly epidemic in much of the world. To better predict short-term, seasonal variations in flu infection rates and possible mechanisms of yearly infection variation, we trained a Long Short-Term Memory (LSTM)-based deep neural network on historical In...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500783/ https://www.ncbi.nlm.nih.gov/pubmed/37710241 http://dx.doi.org/10.1186/s12889-023-16720-6 |