StrokeGuardian: Hybrid Ensemble ML for Real-Time Brain Stroke Prediction and Clinical Decision Support

Abstract

A hybrid ensemble machine learning framework for early-stage, real-time brain stroke risk prediction, with clinical decision support features that give healthcare practitioners data-driven predictive insights.

Key contributions

1. 1Proposed and evaluated a hybrid ensemble machine learning framework for early-stage, real-time brain stroke risk prediction.
2. 2Implemented clinical decision support features to assist healthcare practitioners with data-driven predictive insights.
3. 3Presented the paper as first author at IEEE WIECON-ECE 2025.

Cite this paper

Mohammed Sakib Hasan, "StrokeGuardian: Hybrid Ensemble ML for Real-Time Brain Stroke Prediction and Clinical Decision Support," in IEEE WIECON-ECE 2025, 2025, doi: 10.1109/WIECON-ECE69386.2025.11526163.