The goal of explaining black boxes in EEG seizure prediction is not to explain models' decisions

The goal of explaining black boxes in EEG seizure prediction is not to explain models' decisions

Abstract Many state‐of‐the‐art methods for seizure prediction, using the electroencephalogram, are based on machine learning models that are black boxes, weakening the trust of clinicians in them for high‐risk decisions. Seizure prediction concerns a multidimensional time‐series problem that perform...

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Bibliographic Details
Main Authors: Mauro F. Pinto, Joana Batista, Adriana Leal, Fábio Lopes, Ana Oliveira, António Dourado, Sulaiman I. Abuhaiba, Francisco Sales, Pedro Martins, César A. Teixeira
Format: Article
Language:English
Published: Wiley 2023-06-01
Series:Epilepsia Open
Subjects:
drug‐resistant epilepsy
EEG
explainability
machine learning
seizure prediction
Online Access:https://doi.org/10.1002/epi4.12748

Internet

https://doi.org/10.1002/epi4.12748

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