CerebroIntellex Leveraging Deep Learning Framework for Stroke Analysis

S. Thenmalar, Vansh Sharma, Divija Agrawal, Shubhangi Pandey

2025

Abstract

Stroke is still the leading cause of morbidity and mortality in many parts of the world, therefore, early prediction and classification need to be developed. This work proposes a two-tiered stroke detection and classification approach using machine learning and deep learning models. In the first stage, it is a model using a questionnaire based on LDA that predicts the probability of stroke occurrence through analysis of important risk factors, such as age, BMI, average glucose level, hypertension, and lifestyle attributes. The second stage uses datasets from CT and MRI images for classification into ischemic, hemorrhagic, or normal cases using CNN. The proposed system aids in the early detection of strokes with enhancing diagnostic accuracy in using multimodal data. Comprehensive evaluations demonstrate high prediction accuracy and robust classification performance. This contributes to personalized healthcare by developing risk factor analysis combined with imaging techniques and provides a scalable solution for clinical application.

Paper Citation

in Harvard Style

Thenmalar S., Sharma V., Agrawal D. and Pandey S. (2025). CerebroIntellex Leveraging Deep Learning Framework for 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 44-54. DOI: 10.5220/0013891300004919

in Bibtex Style

@conference{icrdicct`2525,
author={S. Thenmalar and Vansh Sharma and Divija Agrawal and Shubhangi Pandey},
title={CerebroIntellex Leveraging Deep Learning Framework for Stroke Analysis},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={44-54},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013891300004919},
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 - CerebroIntellex Leveraging Deep Learning Framework for Stroke Analysis
SN - 978-989-758-777-1
AU - Thenmalar S.
AU - Sharma V.
AU - Agrawal D.
AU - Pandey S.
PY - 2025
SP - 44
EP - 54
DO - 10.5220/0013891300004919
PB - SciTePress