Heart disease classification using hybrid ML schemes and optimization tactics in healthcare

The RF with GOA significantly improves the accuracy of heart disease classification, illustrating its strong application as a high-performance tool for use in decision support systems in managing cardiovascular health. The results indicate the significance of implementing optimization tactics in ML schemes to boost healthcare diagnostic capabilities.

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Publication Details

Journal
Computer Methods in Biomechanics & Biomedical Engineering
Published
2025-06-02
DOI
https://doi.org/10.1080/10255842.2025.2510373
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

Heart disease classification using hybrid ML schemes and optimization tactics in healthcare

Qijia Liu, Zhengyi Song, Fande Kong
Computer Methods in Biomechanics & Biomedical Engineering
Artificial Intelligence in Healthcare
article

Heart disease classification using hybrid ML schemes and optimization tactics in healthcare

Qijia Liu, Zhengyi Song, Fande Kong
article en

Abstract

The RF with GOA significantly improves the accuracy of heart disease classification, illustrating its strong application as a high-performance tool for use in decision support systems in managing cardiovascular health. The results indicate the significance of implementing optimization tactics in ML schemes to boost healthcare diagnostic capabilities.

Computer Methods in Biomechanics & Biomedical Engineering
Shinhan University (KR), Jining University (CN)
Good health and well-being
Openalex Percentile: Top 85%
Artificial Intelligence in Healthcare
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