Improving the Estimation of Coronary Artery Disease by Classification Machine Learning Algorithm-Reference-Cited by-同舟云学术

Improving the Estimation of Coronary Artery Disease by Classification Machine Learning Algorithm

Published:2023-10-19 Issue: Volume: Page:000159-000166
ISSN:
Container-title:2023 IEEE 6th International Conference and Workshop Óbuda on Electrical and Power Engineering (CANDO-EPE)
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Author:

Ghorbani Hamzeh¹,Krasnikova Alla²,Ghorbani Parvin³,Ghorbani Simin⁴,Hovhannisyan Harutyun S.⁵,Minasyan Arsen¹,Minasian Natali⁶,Alvar Mehdi Ahmadi⁷,Stepanyan Harutyun¹,Azodinia Mohammazreza⁸

Affiliation:

1. University of Traditional Medicine of Armenia (UTMA),Faculty of General Medicine,Yerevan,Armenia,0040

2. Yerevan State medical university,Faculty of Medicine,Department of Cardiology,Yerevan,Armenia,0031

3. Ahvaz Jundishapur University of Medical Sciences,Faculty of Medicine,Department of Cardiology,Ahvaz,Iran

4. Ahvaz Jundishapur University of Medical Sciences,Faculty of Nursing,Department of Nursing and Midwifery,Ahvaz,Iran

5. Yerevan State Medical University,Department of Internal Disease Propaedeutics,Yerevan,Armenia

6. Yaroslavl State Medical University,Faculty of General Medicine,Yaroslavl,Russia

7. Shahid Chamran University,Faculty of Engineering,Department of Computer Engineering,Ahwaz,Iran

8. Doctoral School of Applied Informatics and Applied Mathematics, Obuda University,Budapest,Hungary

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10417862/10417970/10418014.pdf?arnumber=10418014

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4. Use of coronary computed tomography or polygenic risk scores to prompt action to reduce coronary artery disease risk: the CAPAR-CAD trial

5. New Insights into Non-Alcoholic Fatty Liver Disease and Coronary Artery Disease: The Liver-Heart Axis