Comparison between logistic regression and neural networks to predict death in patients with suspected sepsis in the emergency room
ABSTRACT: Introduction Neural networks are new methodological tools based on nonlinear models. They appear to be better at prediction and classification in biological systems than do traditional strategies such as logistic regression. This paper provides a practical example that contrasts both appro...
- Autores:
-
Jaimes Barragán, Fabián Alberto
Farbiarz, Jorge
Álvarez Castro, Diego Fernando
Martínez, Carlos Eli
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2005
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/31668
- Acceso en línea:
- https://hdl.handle.net/10495/31668
- Palabra clave:
- Escala de Coma de Glasgow
Glasgow Coma Scale
Unidades de Cuidados Intensivos
Intensive Care Units
Tiempo de Internación
Length of Stay
Modelos Logísticos
Logistic Models
Estudios Longitudinales
Longitudinal Studies
Redes Neurales de la Computación
Neural Networks, Computer
Curva ROC
ROC Curve
Sepsis - mortalidad
Sepsis - mortality
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by/4.0/
