Neural Networks to Predict Radiographic Brain Injury in Pediatric Patients Treated with Extracorporeal Membrane Oxygenation

Neural Networks to Predict Radiographic Brain Injury in Pediatric Patients Treated with Extracorporeal Membrane Oxygenation

Brain injury is a significant source of morbidity and mortality for pediatric patients treated with Extracorporeal Membrane Oxygenation (ECMO). Our objective was to utilize neural networks to predict radiographic evidence of brain injury in pediatric ECMO-supported patients and identify specific var...

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Bibliographic Details
Main Authors: Neel Shah, Abdelaziz Farhat, Jefferson Tweed, Ziheng Wang, Jeon Lee, Rafe McBeth, Michael Skinner, Fenghua Tian, Ravi Thiagarajan, Lakshmi Raman
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Journal of Clinical Medicine
Subjects:
ECMO
neurologic injury
brain injury
machine learning
neural networks
pediatrics
Online Access:https://www.mdpi.com/2077-0383/9/9/2718

Internet

https://www.mdpi.com/2077-0383/9/9/2718

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