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Md. Samiul Alom

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Conference Open access 2026

XSG-Ensemble: A Weighted Voting Ensemble Machine Learning Model for Enhanced Chronic Kidney Disease Prediction

Chronic Kidney Disease (CKD) affects over 800 million people worldwide, causing 5-11 million annual deaths and imposing significant socioeconomic burdens through comorbidities such as cardiovascular disease and end-stage renal disease (ESRD). Early detection is crucial to mitigate disease progression, yet conventional...

Md. Istiak Ahamed, Abrar Rakin, Abu Bakar Rakib et al. · 0 citations
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. · 0 citations

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