Managing low-acuity patients in an Emergency Department through simulation-based multiobjective optimization using a neural network metamodel
| Year of publication: |
2024
|
|---|---|
| Authors: | Boresta, Marco ; Giovannelli, Tommaso ; Roma, Massimo |
| Published in: |
Health care management science : a new journal serving the international health care management community. - Dordrecht [u.a.] : Springer Science + Business Media B.V., ISSN 1572-9389, ZDB-ID 2006272-2. - Vol. 27.2024, 3, p. 415-435
|
| Subject: | Discrete event simulation | Emergency department fast-track | Machine learning | Metamodel | Multiobjective optimization | Neural network | Simulation-based optimization | Simulation | Neuronale Netze | Neural networks | Notaufnahme | Emergency department | Multikriterielle Entscheidungsanalyse | Multi-criteria analysis | Mathematische Optimierung | Mathematical programming | Krankenhaus | Hospital | Theorie | Theory | Künstliche Intelligenz | Artificial intelligence | Patienten | Patients |
-
Gul, Muhammet, (2020)
-
Feng, Yen-Yi, (2017)
-
Transforming hospital emergency department workflow and patient care
Lee, Eva K., (2015)
- More ...
-
Cacciarelli, Davide, (2021)
-
Cacciarelli, Davide, (2022)
-
Customer Cost Forecasting Through Patterns Learning of Optimal Capacity Allocation
Pinto, Diego Maria, (2022)
- More ...