Explainable ensemble learning model for cardiovascular disease prediction with feature optimization and data balancing
Abstract Cardiovascular disease (CVD) remains a leading global cause of death, highlighting the need for timely and accurate prediction methods. Traditional diagnostic approaches are often time-consuming, costly, and prone to human error, motivating the use of machine learning (ML) for improved risk...
Kaydedildi:
| Asıl Yazarlar: | , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Springer
2026-01-01
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| Seri Bilgileri: | Discover Computing |
| Konular: | |
| Online Erişim: | https://doi.org/10.1007/s10791-026-09930-0 |
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