GSVMA: A Genetic Support Vector Machine ANOVA Method for CAD Diagnosis.

Hassannataj Joloudari, Javad; Azizi, Faezeh; Nematollahi, Mohammad Ali; Alizadehsani, Roohallah; Hassannatajjeloudari, Edris; Nodehi, Issa; Mosavi, Amir

Hassannataj Joloudari, Javad; Azizi, Faezeh; Nematollahi, Mohammad Ali; Alizadehsani, Roohallah; Hassannatajjeloudari, Edris; Nodehi, Issa; Mosavi, Amir.

Afiliação

Hassannataj Joloudari J; Department of Computer Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran.
Azizi F; Department of Computer Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran.
Nematollahi MA; Department of Computer Sciences, Fasa University, Fasa, Iran.
Alizadehsani R; Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC, Australia.
Hassannatajjeloudari E; Department of Nursing, School of Nursing and Allied Medical Sciences, Maragheh Faculty of Medical Sciences, Maragheh, Iran.
Nodehi I; Department of Computer Engineering, University of Qom, Qom, Iran.
Mosavi A; Faculty of Informatics, Technische Universität Dresden, Dresden, Germany.

Front Cardiovasc Med ; 8: 760178, 2021.

Article em En | MEDLINE | ID: mdl-35187099

Palavras-chave

coronary artery disease; diagnosis; genetic algorithm; machine learning; support vector machine

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Front Cardiovasc Med Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Irã

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