Automated diagnosis of coronary artery disease (CAD) patients using optimized SVM.

Journal: Computer methods and programs in biomedicine
Published Date: Oct 24, 2016

Abstract

BACKGROUND AND OBJECTIVE: Currently Coronary Artery Disease (CAD) is one of the most prevalent diseases, and also can lead to death, disability and economic loss in patients who suffer from cardiovascular disease. Diagnostic procedures of this disease by medical teams are typically invasive, although they do not satisfy the required accuracy.

Authors

  • Azam Davari Dolatabadi
    Mechanical Engineering Department, Tarbiat Modares University, Tehran, Iran. Electronic address: azam.davari@modares.ac.ir.
  • Siamak Esmael Zadeh Khadem
    Mechanical Engineering Department, Tarbiat Modares University, Tehran, Iran. Electronic address: khadem@modares.ac.ir.
  • Babak Mohammadzadeh Asl
    Electrical and Computer Engineering Department, Tarbiat Modares University, Tehran, Iran.

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