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Improved autoregressive integrated moving average model for COVID-19 prediction by using statistical significance and clustering techniques
PURPOSE: The COVID-19 pandemic has affected more than 192 countries. The condition results in a respiratory illness (e.g., influenza) with signs and symptoms such as cold, cough, fever, and breathing difficulties. Predicting new instances of COVID-19 is always a challenging task. METHODS: This study...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Elsevier
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896886/ https://www.ncbi.nlm.nih.gov/pubmed/36776910 http://dx.doi.org/10.1016/j.heliyon.2023.e13483 |