An interpretable neural network for outcome prediction in traumatic brain injury

An interpretable neural network for outcome prediction in traumatic brain injury

Abstract Background Traumatic Brain Injury (TBI) is a common condition with potentially severe long-term complications, the prediction of which remains challenging. Machine learning (ML) methods have been used previously to help physicians predict long-term outcomes of TBI so that appropriate treatm...

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Bibliographic Details
Main Authors: Cristian Minoccheri, Craig A. Williamson, Mark Hemmila, Kevin Ward, Erica B. Stein, Jonathan Gryak, Kayvan Najarian
Format: Article
Language:English
Published: BMC 2022-08-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Traumatic brain injury
Outcome prediction
Interpretable machine learning
Neural networks
Clinical decision support systems
Online Access:https://doi.org/10.1186/s12911-022-01953-z

Internet

https://doi.org/10.1186/s12911-022-01953-z

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