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Hybrid deep learning of social media big data for predicting the evolution of COVID-19 transmission
In this study, a hybrid deep-learning model termed as ODANN, built upon neural networks (NN) coupled with data assimilation and natural language processing (NLP) features extraction methods, has been constructed to concurrently process daily COVID-19 time-series records and large volumes of COVID-19...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier B.V.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522122/ https://www.ncbi.nlm.nih.gov/pubmed/34690447 http://dx.doi.org/10.1016/j.knosys.2021.107417 |