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

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...

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Bibliographic Details
Main Authors: Robson Luis Amorim, Louise Makarem Oliveira, Luis Marcelo Malbouisson, Marcia Mitie Nagumo, Marcela Simoes, Leandro Miranda, Edson Bor-Seng-Shu, Andre Beer-Furlan, Almir Ferreira De Andrade, Andres M. Rubiano, Manoel Jacobsen Teixeira, Angelos G. Kolias, Wellingson Silva Paiva
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Neurology
Subjects:
prognostic
traumatic brain injury
machine learning
mortality
LMICs
Online Access:https://www.frontiersin.org/article/10.3389/fneur.2019.01366/full

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https://www.frontiersin.org/article/10.3389/fneur.2019.01366/full

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