Emergency Department Management Using Regression Models
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-08859-9_11
Reference21 articles.
1. Amorim, M., Ferreira, S., & Couto, A. (2019). How do traffic and demand daily changes define urban emergency medical service (UEMS) strategic decisions?: A robust survival model. Journal of Transport and Health, 12, 60–74. https://doi.org/10.1016/j.jth.2018.12.001
2. Azcarate, C., Esparza, L., & Mallor, F. (2020). The problem of the last bed: Contextualization and a new simulation framework for analyzing physician decisions. Omega, 96, 102120. https://doi.org/10.1016/j.omega.2019.102120
3. Bonneuil, N. (2021). Optimal age- and sex-based management of the queue to ventilators during the COVID-19 crisis. Journal of Mathematical Economics, 93, 102494. https://doi.org/10.1016/j.jmateco.2021.102494
4. Cildoz, M., Mallor, F., & Ibarra, A. (2018). Analysing the ED patient flow management problem by using accumulating priority queues and simulation-based optimization. In 2018 Winter Simulation Conference (WSC). https://doi.org/10.1109/wsc.2018.8632323
5. Cildoz, M., Ibarra, A., & Mallor, F. (2019). Accumulating priority queues versus pure priority queues for managing patients in emergency departments. Operations Research for Health Care, 23, 100224. https://doi.org/10.1016/j.orhc.2019.100224
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