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...
- 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
- Palabra clave:
- Tomografía computarizada espiral
Escala de coma de glasgow
Pruebas diagnósticas de rutina
LMICs
Machine learning
Mortality
- Rights
- License
- Attribution 4.0 International