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A statistical and deep learning-based daily infected count prediction system for the coronavirus pandemic
We present new data analytics-based predictions results that can help governments to plan their future actions and also help medical services to be better prepared for the future. Our system can predict new corona cases with 99.82% accuracy using susceptible infected recovered (SIR) model. We have p...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8019340/ https://www.ncbi.nlm.nih.gov/pubmed/33841583 http://dx.doi.org/10.1007/s12065-021-00600-2 |