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...

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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/