Consistency of Feature Importance Algorithms for Interpretable EEG Abnormality Detection.

Knispel, Felix; Brenner, Alexander; Röhrig, Rainer; Weber, Yvonne; Varghese, Julian; Kutafina, Ekaterina

Knispel, Felix; Brenner, Alexander; Röhrig, Rainer; Weber, Yvonne; Varghese, Julian; Kutafina, Ekaterina.

Afiliação

Knispel F; Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany.
Brenner A; Institute of Medical Informatics, University of Münster, Münster, Germany.
Röhrig R; Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany.
Weber Y; Department of Epileptology, Neurology, Medical Faculty, RWTH Aachen University, Aachen, Germany.
Varghese J; Institute of Medical Informatics, University of Münster, Münster, Germany.
Kutafina E; Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany.

Stud Health Technol Inform ; 296: 33-40, 2022 Aug 17.

Article em En | MEDLINE | ID: mdl-36073486

Assuntos

Algoritmos; Eletroencefalografia; Eletroencefalografia/métodos; Aprendizado de Máquina; Redes Neurais de Computação

Palavras-chave

Decision Support Techniques; EEG; Electroencephalography; Machine Learning Interpretability

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Eletroencefalografia Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google