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Heart Disease Risk Identification using Machine Learning Techniques for a Highly Imbalanced Dataset: a Comparative Study Cover

Heart Disease Risk Identification using Machine Learning Techniques for a Highly Imbalanced Dataset: a Comparative Study

KDU Journal of Multidisciplinary Studies
Volume 4 (2022): Issue 2
By: ,   and    
Open Access
|Dec 2022
Authors

Authors

C. D. Fernando

fchanna2853@gmail.com

University of Peradeniya, Peradeniya

P. T. Weerasinghe

editorkjms@kdu.ac.lk

University of Peradeniya, Peradeniya

C. K. Walgampaya

editorkjms@kdu.ac.lk

University of Peradeniya, Peradeniya
DOI: https://doi.org/10.4038/kjms.v4i2.50 | Journal eISSN: 2579-2229
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Language: English
Page range: 43 - 55
Published on: Dec 28, 2022
Published by: General Sir John Kotelawala Defence University
In partnership with: Paradigm Publishing Services
Keywords:
Heart Disease,
Machine Learning,
Class Imbalance,
Sampling methods

© 2022 C. D. Fernando, P. T. Weerasinghe, C. K. Walgampaya, published by General Sir John Kotelawala Defence University
This work is licensed under the Creative Commons License.

Volume 4 (2022): Issue 2
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