Application of data mining in a cohort of Italian subjects undergoing myocardial perfusion imaging at an academic medical center.

Journal: Computer methods and programs in biomedicine
Published Date: Jan 16, 2020

Abstract

INTRODUCTION: Coronary artery disease (CAD) is still one of the primary causes of death in the developed countries. Stress single-photon emission computed tomography is used to evaluate myocardial perfusion and ventricular function in patients with suspected or known CAD. This study sought to test data mining and machine learning tools and to compare some supervised learning algorithms in a large cohort of Italian subjects with suspected or known CAD who underwent stress myocardial perfusion imaging.

Authors

  • Carlo Ricciardi
    Department of Electrical Engineering and Information Technology, University of Naples "Federico II", Naples, Italy.
  • Valeria Cantoni
    Department of Advanced Biomedical Sciences, University Hospital of Naples 'Federico II', Naples, Italy.
  • Giovanni Improta
    Department of Public Health, University of Naples "Federico II", Naples, Italy.
  • Luigi Iuppariello
  • Imma Latessa
    Department of Public Health, University Hospital of Naples 'Federico II', Naples, Italy.
  • Mario Cesarelli
  • Maria Triassi
    Department of Public Health of the University Hospital, University of Naples Federico II, Naples, Italy.
  • Alberto Cuocolo
    Department of Advanced Biomedical Sciences, University Hospital of Naples 'Federico II', Naples, Italy.

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