HeartEnsembleNet: An Innovative Hybrid Ensemble Learning Approach for Cardiovascular Risk Prediction

These results highlight the effectiveness of hybrid ensemble learning in enhancing CVD risk prediction, offering a promising framework for clinical decision support.

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Publication Details

Journal
Healthcare
Published
2025-02-26
DOI
https://doi.org/10.3390/healthcare13050507
Citations
34
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
99.88

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article

HeartEnsembleNet: An Innovative Hybrid Ensemble Learning Approach for Cardiovascular Risk Prediction

Jun Kim, Zeeshan Abbas, Syed Ali Jafar Zaidi, Seung Won Lee et al.
34 citations
Healthcare
Artificial Intelligence in Healthcare
99.88
article

HeartEnsembleNet: An Innovative Hybrid Ensemble Learning Approach for Cardiovascular Risk Prediction

Jun Kim, Zeeshan Abbas, Syed Ali Jafar Zaidi, Seung Won Lee, Abdul Ghafoor
article en
34 citations

Abstract

These results highlight the effectiveness of hybrid ensemble learning in enhancing CVD risk prediction, offering a promising framework for clinical decision support.

HealthcareVol. 13(5)
Khwaja Fareed University of Engineering and Information Technology (PK), Sungkyunkwan University (KR)
Sungkyunkwan University, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 0%
Artificial Intelligence in Healthcare
99.88
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