Optimizing Stroke Risk Prediction: A Primary Dataset-Driven Ensemble Classifier With Explainable Artificial Intelligence.

Journal: Health science reports
Published Date: May 5, 2025

Abstract

BACKGROUND AND AIMS: Stroke remains a leading cause of mortality and long-term disability worldwide, presenting a significant global health challenge. Effective early prediction models are essential for reducing its impact. This study introduces a novel ensemble method for predicting stroke using two datasets: a primary dataset collected from a hospital, containing medical histories and clinical parameters, and a secondary dataset.

Authors

  • Md Maruf Hossain
    Department of Biomedical Engineering Islamic University Kushtia Bangladesh.
  • Md Mahfuz Ahmed
    Department of Biomedical Engineering Islamic University Kushtia Bangladesh.
  • Md Rakibul Hasan Rakib
    Department of Biomedical Engineering Islamic University Kushtia Bangladesh.
  • Mohammad Osama Zia
    Department of Biomedical Engineering Islamic University Kushtia Bangladesh.
  • Rakib Hasan
    Department of Biomedical Engineering Islamic University Kushtia Bangladesh.
  • Md Rakibul Islam
    Bio-Imaging Research Laboratory, BME Islamic University Kushtia Bangladesh.
  • Md Shohidul Islam
    Department of Neurology Kushtia Medical College Kushtia Bangladesh.
  • Md Shahariar Alam
    Department of Information and Communication Technology Islamic University Kushtia Bangladesh.
  • Md Khairul Islam
    Department of Biomedical Engineering Islamic University Kushtia Bangladesh.

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