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An interpretable hybrid predictive model of COVID-19 cases using autoregressive model and LSTM
The Coronavirus Disease 2019 (COVID-19) has had a profound impact on global health and economy, making it crucial to build accurate and interpretable data-driven predictive models for COVID-19 cases to improve public policy making. The extremely large scale of the pandemic and the intrinsically chan...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126574/ https://www.ncbi.nlm.nih.gov/pubmed/37185289 http://dx.doi.org/10.1038/s41598-023-33685-z |