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Hierarchical Spatio-Temporal Transformer for Coherent Emergency Department Forecasting

Lino, Filipa et al.
arXiv (All) · Papers
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machine-learning
Emergency Departments (EDs) are critical access points in healthcare systems, yet they face persistent pressure from unpredictable patient demand, seasonal surges, and non-urgent visits. Effective ED planning requires forecasts at multiple decision-making levels: hospitals need local demand estimate
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