Prediction of Early TBI Mortality Using a Machine Learning Approach in a LMIC Population

Background: In a time when the incidence of severe traumatic brain injury (TBI) is increasing in low- to middle-income countries (LMICs), it is important to understand the behavior of predictive variables in an LMIC’s population. There are few previous attempts to generate prediction models for TBI...

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Autores:
Amorim, Robson
Oliveira, Louise
Malbouisson, Luiz Marcelo
Nagumo, Marcia
Simoes, Marcela
Bor-Seng-Shu, Edson
Beer-Furlan, André
Ferreira de Andrade, Almir
Rubiano, Andrés M.
Teixeira, Manoel Jacobsen
Kolias, Angelos
Paiva, Vera
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad El Bosque
Repositorio:
Repositorio U. El Bosque
Idioma:
eng
OAI Identifier:
oai:repositorio.unbosque.edu.co:20.500.12495/2014
Acceso en línea:
http://hdl.handle.net/20.500.12495/2014
https://doi.org/10.3389/fneur.2019.01366
Palabra clave:
Tomografía computarizada espiral
Escala de coma de glasgow
Pruebas diagnósticas de rutina
LMICs
Machine learning
Mortality
Rights
License
Attribution 4.0 International