Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries

Alizadehsani, Roohallah, Hosseini, Mohammad Javad, Khosravi, Abbas, Khozeimeh, Fahime, Roshanzamir, Mohamad, Sarrafzadegan, Nizal and Nahavandi, Saeid 2018, Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries, Computer methods and programs in biomedicine, vol. 162, pp. 119-127, doi: 10.1016/j.cmpb.2018.05.009.

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Title Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries
Author(s) Alizadehsani, Roohallah
Hosseini, Mohammad Javad
Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Khozeimeh, Fahime
Roshanzamir, Mohamad
Sarrafzadegan, Nizal
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Journal name Computer methods and programs in biomedicine
Volume number 162
Start page 119
End page 127
Total pages 9
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2018-08
ISSN 1872-7565
Keyword(s) Coronary artery disease
Feature selection
Naive Bayes and C4.5 classifiers
Support vector machine
Science & Technology
Technology
Life Sciences & Biomedicine
Computer Science, Interdisciplinary Applications
Computer Science, Theory & Methods
Engineering, Biomedical
Medical Informatics
Computer Science
Engineering
BREAST-CANCER CLASSIFICATION
SUPPORT VECTOR MACHINES
HEART-VALVE DISEASES
INTRAVASCULAR ULTRASOUND
AUTOMATED DIAGNOSIS
NONLINEAR FEATURES
COMPONENT ANALYSIS
NEURAL-NETWORKS
DATA SETS
SYSTEM
Language eng
DOI 10.1016/j.cmpb.2018.05.009
Field of Research 080109 Pattern Recognition and Data Mining
0903 Biomedical Engineering
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2018, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30109410

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