Your browser doesn't support javascript.
loading
Machine learning-based coronary artery disease diagnosis: A comprehensive review.
Alizadehsani, Roohallah; Abdar, Moloud; Roshanzamir, Mohamad; Khosravi, Abbas; Kebria, Parham M; Khozeimeh, Fahime; Nahavandi, Saeid; Sarrafzadegan, Nizal; Acharya, U Rajendra.
Afiliación
  • Alizadehsani R; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia. Electronic address: ralizadehsani@deakin.edu.au.
  • Abdar M; Département d'informatique, Université du Québec à Montréal, Montréal, Québec, Canada.
  • Roshanzamir M; Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran.
  • Khosravi A; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia.
  • Kebria PM; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia.
  • Khozeimeh F; Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Nahavandi S; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia.
  • Sarrafzadegan N; Faculty of Medicine, SPPH, University of British Columbia, Vancouver, BC, Canada; Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Khorram Ave, Isfahan, Iran.
  • Acharya UR; Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore; Department of Biomedical Engineering, School of Science and Technology, Singapore University of Social Sciences, Singapore; Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, Malaysi
Comput Biol Med ; 111: 103346, 2019 08.
Article en En | MEDLINE | ID: mdl-31288140
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Diagnóstico por Computador / Aprendizaje Automático Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Comput Biol Med Año: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Diagnóstico por Computador / Aprendizaje Automático Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Comput Biol Med Año: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos