3 papers
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.CY2025
Assessing the Impact of External and Internal Factors on Emergency Department Overcrowding
Abdulaziz Ahmed, Khalid Y Aram, Mohammed Alzeen +4
Study Objective: To analyze the factors influencing Emergency Department (ED) overcrowding by examining the impacts of operational, environmental, and external variables, including…
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…