A machine learning model for triage in lean pediatric emergency departments
High demand periods and under-staffing due to financial constraints cause Emergency Departments (EDs) to frequently exhibit over-crowding and slow response times to provide adequate patient care. In response, Lean Thinking has been applied to help alleviate some of these issues and improve patient h...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2016
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/8997
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/8997
- Palabra clave:
- Emergency department
Fast track
Lean
Logistic regression
Machine learning
Neural networks
PCA
SVM
Triage
Artificial intelligence
Complex networks
Emergency rooms
Hospitals
Neural networks
Patient monitoring
Patient treatment
Pediatrics
Emergency departments
Fast tracks
Lean
Logistic regressions
Triage
Learning systems
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/