Deep learning model to predict exercise stress test results: Optimizing the diagnostic test selection strategy and reduce wastage in suspected coronary artery disease patients.

Journal: Computer methods and programs in biomedicine
PMID:

Abstract

BACKGROUND: Cardiac exercise stress testing (EST) offers a non-invasive way in the management of patients with suspected coronary artery disease (CAD). However, up to 30% EST results are either inconclusive or non-diagnostic, which results in significant resource wastage. Our aim was to build machine learning (ML) based models, using patients demographic (age, sex) and pre-test clinical information (reason for performing test, medications, blood pressure, heart rate, and resting electrocardiogram), capable of predicting EST results beforehand including those with inconclusive or non-diagnostic results.

Authors

  • Juan Lu
    Yunnan Agricultural University, Kunming, China.
  • Jonathon Stewart
    Royal Perth Hospital, Perth, Western Australia, Australia.
  • Mohammed Bennamoun
    School of Physics, Mathematics and Computing, University of Western Australia, Australia.
  • Adrian Goudie
    Department of Emergency Medicine, Fiona Stanley Hospital, Murdoch, Western Australia, Australia.
  • Jason Eshraghian
    Department of Computer Science and Software Engineering, The University of Western Australia, Australia; Medical School, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Australia.
  • Abdul Ihdayhid
    Medical School, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Australia; Harry Perkins Institute of Medical Research, Perth, Australia; Cardiology Department, Fiona Stanley Hospital, Perth, Australia.
  • Frank Sanfilippo
    School of Population and Global Health, University of Western Australia, Crawley, Western Australia, Australia.
  • Gary R Small
    Department of Medicine, Division of Cardiology, University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON K1Y 4W7, Canada.
  • Benjamin Jw Chow
    Division of Cardiology, University of Ottawa Heart Institute, Department of Medicine, University of Ottawa, Canada.
  • Girish Dwivedi
    Department of Medicine, The University of Western Australia, 35 Stirling Highway, CRAWLEY Western Australia 6009, Australia.