Automated Diagnosis of Coronary Artery Disease: A Review and Workflow
Joint Authors
Teh, Ying-Wah
Mastoi, Qurat-ul-ain
Gopal Raj, Ram
Iqbal, Uzair
Source
Cardiology Research and Practice
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-04
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Coronary artery disease (CAD) is the most dangerous heart disease which may lead to sudden cardiac death.
However, CAD diagnoses are quite expensive and time-consuming procedures which a patient need to go through.
The aim of our paper is to present a unique review of state-of-the-art methods up to 2017 for automatic CAD classification.
The protocol of review methods is identifying best methods and classifier for CAD identification.
The study proposes two workflows based on two parameter sets for instances A and B.
It is necessary to follow the proper procedure, for future evaluation process of automatic diagnosis of CAD.
The initial two stages of the parameter set A workflow are preprocessing and feature extraction.
Subsequently, stages (feature selection and classification) are same for both workflows.
In literature, the SVM classifier represents a promising approach for CAD classification.
Moreover, the limitation leads to extract proper features from noninvasive signals.
American Psychological Association (APA)
Mastoi, Qurat-ul-ain& Teh, Ying-Wah& Gopal Raj, Ram& Iqbal, Uzair. 2018. Automated Diagnosis of Coronary Artery Disease: A Review and Workflow. Cardiology Research and Practice،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1151988
Modern Language Association (MLA)
Mastoi, Qurat-ul-ain…[et al.]. Automated Diagnosis of Coronary Artery Disease: A Review and Workflow. Cardiology Research and Practice No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1151988
American Medical Association (AMA)
Mastoi, Qurat-ul-ain& Teh, Ying-Wah& Gopal Raj, Ram& Iqbal, Uzair. Automated Diagnosis of Coronary Artery Disease: A Review and Workflow. Cardiology Research and Practice. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1151988
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1151988