Artificial intelligence and discrete-event simulation for capacity management of intensive care units during the Covid-19 pandemic: a case study
The Covid-19 pandemic has pushed the Intensive Care Units (ICUs) into significant operational disruptions. The rapid evolution of this disease, the bed capacity constraints, the wide variety of patient profiles, and the imbalances within health supply chains still represent a challenge for policymak...
- Autores:
-
Ortiz Barrios, Miguel Angel
Arias Fonseca, Sebastian
Ishizaka, Alessio
Barbati, Maria
Avendano-Collante, Betty
Navarro Jiménez, Eduardo
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2023
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/10447
- Acceso en línea:
- https://hdl.handle.net/11323/10447
https://repositorio.cuc.edu.co/
- Palabra clave:
- Covid-19
Discrete-Event Simulation (DES)
Artificial Intelligence (AI)
Random Forest (RF)
Intensive Care Unit (ICU)
Healthcare
- Rights
- embargoedAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)