Automated Stroke Prediction Using Machine Learning: An Explainable and Exploratory Study with a Web Application for Early Intervention

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{197434,
        author = {Naila Fathima and Mohammad Anasuddin and Mohammed Ayanuddin and Md Khaleel ur Rahman},
        title = {Automated Stroke Prediction Using Machine Learning: An Explainable and Exploratory Study with a Web Application for Early Intervention},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {6943-6954},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197434},
        abstract = {},
        keywords = {Machine Learning, Stroke Prediction, Health- care AI, Explainable AI, SMOTE, KNN, Confusion matrix},
        month = {April},
        }

Cite This Article

Fathima, N., & Anasuddin, M., & Ayanuddin, M., & Rahman, M. K. U. (2026). Automated Stroke Prediction Using Machine Learning: An Explainable and Exploratory Study with a Web Application for Early Intervention. International Journal of Innovative Research in Technology (IJIRT), 12(11), 6943–6954.

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