Machine Learning-Based Prediction and Prevention of Brain Stroke Analysis

Manish Deep, Rithish R., P. Geetha, T. Grace Shalini

2025

Abstract

Machine Learning in the Medical domain, especially in brain strokes prediction and prevention is one of the most sophisticated techniques. Stroke in the brain occurs when blood supply to part of the brain is interrupted which causes possible cell death. Brain strokes are of two types: hemorrhagic, whenever bleeding occurs inside the brain, and ischemic, which originate from a blocked artery-ship. When treated early, strokes can be managed, preserving life and resulting in less disability and better medical outcomes. Innovative machine learning techniques have been implemented to create a smart framework for stroke classification and forecasting as presented in this paper. It will consist of major parts like data cleaning, graphical presentation of data, and various machine learning models to achieve high accuracy in prediction. You are procced on the data until October 2023. Meaningful stroke-related narratives Using visualization techniques process the information complexities into a more understandable form. We employ a set of machine learning classifiers to effectively detect and predict stroke events. Data quality, model interpretability issues and privacy challenges are critical to successful deployment of ML-based stroke prevention systems. It is also implemented with a Django-based web platform where health-care professionals can make accurate decisions on prediction made by the model.

Paper Citation

in Harvard Style

Deep M., R. R., Geetha P. and Shalini T. (2025). Machine Learning-Based Prediction and Prevention of Brain Stroke Analysis. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 634-640. DOI: 10.5220/0013940100004919

in Bibtex Style

@conference{icrdicct`2525,
author={Manish Deep and Rithish R. and P. Geetha and T. Shalini},
title={Machine Learning-Based Prediction and Prevention of Brain Stroke Analysis},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={634-640},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013940100004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Machine Learning-Based Prediction and Prevention of Brain Stroke Analysis
SN - 978-989-758-777-1
AU - Deep M.
AU - R. R.
AU - Geetha P.
AU - Shalini T.
PY - 2025
SP - 634
EP - 640
DO - 10.5220/0013940100004919
PB - SciTePress