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.
Authors
- Qijia Liu
- Zhengyi Song (ORCID: https://orcid.org/0000-0002-6989-3324)
- Fande Kong
Institutions
- Shinhan University (KR)
- Jining University (CN)
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