International Journal on Science and Technology
E-ISSN: 2229-7677
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Impact Factor: 9.88
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 16 Issue 4
October-December 2025
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Brain Stroke Prediction Using Random Forest Algorithm
| Author(s) | M.N.V.S.S. Abhiram, T. Sudheer, Y. Shanmuk Ram Tej, A.N.V.K. Swarupa |
|---|---|
| Country | India |
| Abstract | The research focuses on early brain stroke detection using AI-based methods. A VGG16 CNN model extracts features from CT scans, which are then classified using a Random Forest algorithm. The approach achieves high accuracy, outperforming other techniques, enabling quicker and more accurate stroke detection for early medical intervention. |
| Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
| Published In | Volume 16, Issue 1, January-March 2025 |
| Published On | 2025-03-31 |
| DOI | https://doi.org/10.71097/IJSAT.v16.i1.3059 |
| Short DOI | https://doi.org/g9dgpw |
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IJSAT DOI prefix is
10.71097/IJSAT
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