Boruta Feature Selection for Prediction of Coronary Artery Disease-Reference-Cited by-同舟云学术

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Boruta Feature Selection for Prediction of Coronary Artery Disease

Published:2023-11-01 Issue: Volume:7 Page:1-5
ISSN:
Container-title:2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)
language:
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Author:

Yuvalatha S.¹,Nithyapriya S.²,Kuzhali R. Tamizh³,Savitha S.⁴

Affiliation:

1. Bannari Amman Institute of Technology,Department of Computer Science and Business Systems,Sathyamangalam

2. Bannari Amman Institute of Technology,Department of Artificial Intelligence and Data Science,Sathyamangalam

3. C K College of Engineering and Technology,Department of Artificial Intelligence and Data Science,Chennai

4. PSR Engineering College,Department of Computer Science and Engineering,Sivakasi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10368386/10368609/10369394.pdf?arnumber=10369394

Reference14 articles.

1. A metaheuristic-enabled training system for ensemble classification technique for heart disease prediction

2. Effective heart disease prediction using novel MLP-EBMDA approach

3. Heart disease prediction using hyper parameter optimization (HPO) tuning

4. Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning

5. A novel approach for heart disease prediction using strength scores with significant predictors

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