A new machine learning technique for an accurate diagnosis of coronary artery disease.

Journal: Computer methods and programs in biomedicine
Published Date: Jul 24, 2019

Abstract

BACKGROUND AND OBJECTIVE: Coronary artery disease (CAD) is one of the commonest diseases around the world. An early and accurate diagnosis of CAD allows a timely administration of appropriate treatment and helps to reduce the mortality. Herein, we describe an innovative machine learning methodology that enables an accurate detection of CAD and apply it to data collected from Iranian patients.

Authors

  • Moloud Abdar
    Département d'Informatique, Université du Québec à Montréal, Montréal, QC, Canada. m.abdar1987@gmail.com.
  • Wojciech Książek
    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 University of Science and Technology, 30-059 Krakow, Poland.
  • U Rajendra Acharya
    School of Business (Information Systems), Faculty of Business, Education, Law & Arts, University of Southern Queensland, Darling Heights, Australia.
  • Ru-San Tan
    National Heart Centre Singapore, Singapore, Singapore.
  • Vladimir Makarenkov
    Département d'Informatique, Université du Québec à Montréal, Montréal, QC, Canada.
  • Pawel Plawiak
    Institute of Telecomputing, Faculty of Physics, Mathematics and Computer Science, Cracow University of Technology, Krakow, Poland.

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