Learning Models for Traumatic Brain Injury Mortality Prediction on Pediatric Electronic Health Records

Learning Models for Traumatic Brain Injury Mortality Prediction on Pediatric Electronic Health Records

BackgroundTraumatic Brain Injury (TBI) is one of the leading causes of injury related mortality in the world, with severe cases reaching mortality rates of 30-40%. It is highly heterogeneous both in causes and consequences, complicating medical interpretation and prognosis. Gathering clinical, demog...

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Bibliographic Details
Main Authors: João Fonseca, Xiuyun Liu, Hélder P. Oliveira, Tania Pereira
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Neurology
Subjects:
machine learning
feature selection
feature importance
Traumatic Brain Injury
mortality prediction
clinical significance
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2022.859068/full

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https://www.frontiersin.org/articles/10.3389/fneur.2022.859068/full

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