Publications by authors named "Egbe-Etu Etu"
Article Synopsis
- * The study aimed to predict emergency department patient arrivals during the pandemic and evaluated various forecasting models, including their performance over different time frames.
- * Findings indicated that the Holt-Winters model was the best for short-term predictions, while the Long Short-Term Memory model excelled for long-term forecasts, helping to improve hospital resource planning by accurately anticipating patient surges.
During a medical surge, resource scarcity and other factors influence the performance of the healthcare systems. To enhance their performance, hospitals need to identify the critical indicators that affect their operations for better decision-making. This study aims to model a pertinent set of indicators for improving emergency departments' (ED) performance during a medical surge.
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