Conference
Open access
2026
A Multi-Class Heart Disease and Stroke Risk Classification Framework for Combined Assessment: A Machine Learning Approach
Results provide an indication that an integrated, interpretable, and data-efficient learning system has the potential to support screening and risk of cardiovascular disease in the early stages of care and inform preventive care in a real healthcare environment.
Abrar Rakin, Md. Istiak Ahamed, Farhan Hassin et al.
· E3S Web of Conferences · 0 citations