Machine learning-based coronary artery disease diagnosis: A comprehensive review
Roohallah AlizadehsaniInstitute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia. Electronic address: [email protected]Moloud AbdarDépartement d'informatique, Université du Québec à Montréal, Montréal, Québec, CanadaMohamad RoshanzamirDepartment of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, IranAbbas KhosraviInstitute for Intelligent Systems Research and Innovation (IISRI), Deakin University, AustraliaParham M. KebriaInstitute for Intelligent Systems Research and Innovation (IISRI), Deakin University, AustraliaFahime KhozeimehFaculty of Medicine, Mashhad University of Medical Sciences, Mashhad, IranSaeid NahavandiInstitute for Intelligent Systems Research and Innovation (IISRI), Deakin University, AustraliaNizal SarrafzadeganFaculty 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, IranU. Rajendra AcharyaDepartment 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, Malaysia
2019en
ABI
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Cited by 20 references