Forecasting patient flows with pandemic induced concept drift using explainable machine learning
Abstract Accurately forecasting patient arrivals at Urgent Care Clinics (UCCs) and Emergency Departments (EDs) is important for effective resourcing and patient care. However, correctly estimating patient flows is not straightforward since it depends on many drivers. The predictability of patient ar...
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| Główni autorzy: | , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
SpringerOpen
2023-04-01
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| Seria: | EPJ Data Science |
| Hasła przedmiotowe: | |
| Dostęp online: | https://doi.org/10.1140/epjds/s13688-023-00387-5 |
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