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A new machine learning technique for an accurate diagnosis of coronary artery disease.
Abdar, Moloud; Ksiazek, Wojciech; Acharya, U Rajendra; Tan, Ru-San; Makarenkov, Vladimir; Plawiak, Pawel.
Afiliación
  • Abdar M; Département d'informatique, Université du Québec à Montréal, Montréal, Québec, Canada.
  • Ksiazek W; Institute of Telecomputing, Faculty of Physics, Mathematics and Computer Science, Cracow University of Technology, 31-155 Krakow, Poland; Department of Biocybernetics and Biomedical Engineering, Faculty of Electrical Engineering, Automatics, Computer Science, and Biomedical Engineering, AGH Universi
  • Acharya UR; Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore; Department of Biomedical Engineering, School of Science and Technology, Singapore School of Social Sciences, Singapore; School of Medicine, Faculty of Health and Medical Sciences, Taylor's University, 47500 Subang J
  • Tan RS; Department of Cardiology, National Heart Centre Singapore, Singapore; Duke-NUS Medical School, Singapore.
  • Makarenkov V; Département d'informatique, Université du Québec à Montréal, Montréal, Québec, Canada.
  • Plawiak P; Institute of Telecomputing, Faculty of Physics, Mathematics and Computer Science, Cracow University of Technology, 31-155 Krakow, Poland. Electronic address: plawiak@pk.edu.pl.
Comput Methods Programs Biomed ; 179: 104992, 2019 Oct.
Article en En | MEDLINE | ID: mdl-31443858

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Aprendizaje Automático Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Female / Humans / Male Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Canadá

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Aprendizaje Automático Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Female / Humans / Male Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Canadá