An AI-based multiphase framework for improving the mechanical ventilation availability in emergency departments during respiratory disease seasons: a case study

Background Shortages of mechanical ventilation have become a constant problem in Emergency Departments (EDs), thereby affecting the timely deployment of medical interventions that counteract the severe health complications experienced during respiratory disease seasons. It is then necessary to count...

Full description

Autores:

Ortiz-Barrios, Miguel
Petrillo,Antonella
Arias-Fonseca, Sebastián
McClean, Sally
de Felice, Fabio
Nugent, Chris
Uribe-López, Sheyla-Ariany

Tipo de recurso:

Article of investigation

Fecha de publicación:

2024

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/13392

Acceso en línea:

https://hdl.handle.net/11323/13392
https://repositorio.cuc.edu.co/

Palabra clave:

Artificial Intelligence (AI)
Random Forest (RF)
Discrete-Event-Simulation (DES)
Emergency Department (ED)
Mechanical ventilation
Healthcare

Rights

openAccess

License

Atribución 4.0 Internacional (CC BY 4.0)