Novel cost-effective method for forecasting COVID-19 and hospital occupancy using deep learning
Abstract The emergence of the COVID-19 pandemic in 2019 and its rapid global spread put healthcare systems around the world to the test. This crisis created an unprecedented level of stress in hospitals, exacerbating the already complex task of healthcare management. As a result, it led to a tragic...
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| Main Authors: | Nabil I. Ajali-Hernández, Carlos M. Travieso-González |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-10-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-69319-1 |
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