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Cardiology Research and Practice
Volume 2018 (2018), Article ID 2016282, 9 pages
https://doi.org/10.1155/2018/2016282
Review Article

Automated Diagnosis of Coronary Artery Disease: A Review and Workflow

Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur 50603, Malaysia

Correspondence should be addressed to Teh Ying Wah; ym.ude.mu@wyhet

Received 27 October 2017; Accepted 19 December 2017; Published 4 February 2018

Academic Editor: Stephan von Haehling

Copyright © 2018 Qurat-ul-ain Mastoi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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