Machine learning in heart failure: ready for prime time.

Journal: Current opinion in cardiology
Published Date: Mar 1, 2018

Abstract

PURPOSE OF REVIEW: The aim of this review is to present an up-to-date overview of the application of machine learning methods in heart failure including diagnosis, classification, readmissions and medication adherence.

Authors

  • Saqib Ejaz Awan
    School of Computer Science and Software Engineering, The University of Western Australia.
  • Ferdous Sohel
    Department of Information Technology, Mathematics and Statistics, College of Science, Health, Engineering and Education, Murdoch University, Murdoch, Australia.
  • Frank Mario Sanfilippo
    School of Population and Global Health.
  • Mohammed Bennamoun
    School of Physics, Mathematics and Computing, University of Western Australia, Australia.
  • Girish Dwivedi
    Department of Medicine, The University of Western Australia, 35 Stirling Highway, CRAWLEY Western Australia 6009, Australia.

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