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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Manylion Llyfryddiaeth
Prif Awduron: Mauro F. Pinto, Joana Batista, Adriana Leal, Fábio Lopes, Ana Oliveira, António Dourado, Sulaiman I. Abuhaiba, Francisco Sales, Pedro Martins, César A. Teixeira
Fformat: Erthygl
Iaith:English
Cyhoeddwyd: Wiley 2023-06-01
Cyfres:Epilepsia Open
Pynciau:
drug‐resistant epilepsy
EEG
explainability
machine learning
seizure prediction
Mynediad Ar-lein:https://doi.org/10.1002/epi4.12748

Rhyngrwyd

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

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