An interpretable hybrid predictive model of COVID-19 cases using autoregressive model and LSTM
Abstract 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 intrinsic...
| Published in: | Scientific Reports |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-04-01
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| Online Access: | https://doi.org/10.1038/s41598-023-33685-z |