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cs.LG2025
Deep Learning-Based Forecasting of Boarding Patient Counts to Address ED Overcrowding
Orhun Vural, Bunyamin Ozaydin, James Booth +2
This study presents a deep learning-based framework for predicting emergency department (ED) boarding counts six hours in advance using only operational and contextual data, withou…
cs.LG2025
An Artificial Intelligence-Based Framework for Predicting Emergency Department Overcrowding: Development and Evaluation Study
Orhun Vural, Bunyamin Ozaydin, Khalid Y. Aram +3
Background: Emergency department (ED) overcrowding remains a major challenge, causing delays in care and increased operational strain. Hospital management often reacts to congestio…