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STAN: Spatio-Temporal Attention Network for Pandemic Prediction Using Real World Evidence
Objective: The COVID-19 pandemic has created many challenges that need immediate attention. Various epidemiological and deep learning models have been developed to predict the COVID-19 outbreak, but all have limitations that affect the accuracy and robustness of the predictions. Our method aims at a...
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| Publicado no: | ArXiv |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Cornell University
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7743072/ https://ncbi.nlm.nih.gov/pubmed/33330741 |
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