Heart Disease Prediction Using Novel Ensemble and Blending Based Cardiovascular Disease Detection Networks: EnsCVDD-Net and BlCVDD-Net-Reference-Cited by-同舟云学术

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Heart Disease Prediction Using Novel Ensemble and Blending Based Cardiovascular Disease Detection Networks: EnsCVDD-Net and BlCVDD-Net

Published:2024 Issue: Volume:12 Page:109230-109254
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Khan Hira¹,Javaid Nadeem²^ORCID,Bashir Tariq¹^ORCID,Akbar Mariam²,Alrajeh Nabil³^ORCID,Aslam Sheraz⁴^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad, Pakistan

2. Department of Computer Science, COMSATS University Islamabad, Islamabad, Pakistan

3. Department of Biomedical Technology, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia

4. Department of Electrical Engineering, Computer Engineering and Informatics (EECEI), Cyprus University of Technology, Limassol, Cyprus

Funder

Researchers Supporting Project

King Saud University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10577964.pdf?arnumber=10577964

Reference63 articles.

1. Detection of Cardiovascular Diseases in ECG Images Using Machine Learning and Deep Learning Methods

2. Cardiovascular disease (CVD): assessment, prediction and policy implications

3. Global Cardiovascular Research: Gaps and Opportunities

4. Behavioural and nutritional risk factors for cardiovascular diseases among the Ghanaian population- a cross-sectional study

5. A Clinical Data Analysis Based Diagnostic Systems for Heart Disease Prediction Using Ensemble Method

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