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Author

Abrar Rakin

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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

Sleep Disorder Classification Using HSE-NET Ensemble: A Robust Machine Learning Framework

Sleep regulation disorders, particularly insomnia and obstructive sleep apnea, can seriously affect mental well-being, emotional balance, and overall physical health. Although polysomnography is considered the standard clinical method for diagnosing these disorders, its high cost, time requirements, and dependence on s...

Md. Istiak Ahamed, Abrar Rakin, Khaja S. Ahmed 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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