Journal of Natural Science Research and Review (JNSRR) · Research article · Open access
Development of a Deep Learning Model for the Early Prediction of Stroke
Asogwa Tochukwu Chijindu
24 October 2025 · Vol. 1, Issue 4, pp. 78-83
DOI: 10.65150/EP-jnsrr/V1E4/2025-02
Download full text (PDF)Cite this article
What is this article about?
This study presents the development of a deep learning model for the prediction of stroke using a healthcare dataset. The dataset was thoroughly preprocessed, encompassing feature extraction, data partitioning, and missing value management, to ensure optimal conditions for model training and evaluation.
Article at a glance
- Published
- 24 October 2025
- Volume / issue / pages
- Vol. 1, Issue 4, pp. 78-83
- ISSN
- 3051-3766 (online) · 3051-3758 (print)
- Licence
- CC BY 4.0 — free to read and reuse with attribution
- Peer review
- Double-blind, at least two independent reviewers
- Publisher
- EP Journals Group
Abstract
This study presents the development of a deep learning model for the prediction of stroke using a healthcare dataset. The dataset was thoroughly preprocessed, encompassing feature extraction, data partitioning, and missing value management, to ensure optimal conditions for model training and evaluation. Regularisation techniques were included into a Convolutional Neural Network (CNN) architecture that was carefully designed with layers tuned for classification tasks in order to decrease overfitting and enhance generalisation. The model's performance was comprehensively assessed using a 10-fold cross-validation technique, which produced metrics such as accuracy, precision, recall, F1-score, and the Area Under the Curve (AUC). The findings showed that the CNN's average accuracy, precision, recall, and F1-score were 94.88%, 94.28%, and 95.15%, respectively. The calculated AUC of 0.96 revealed the model's high discriminating capacity. These results show the model's resilience and dependability across several data subsets, suggesting its potential for efficient stroke detection.
Keywords: Stroke Prediction, Convolutional Neural Network (CNN), Deep Learning, Healthcare, Data Preprocessing, Feature Extraction
Cite this article
Asogwa Tochukwu Chijindu (2025). Development of a Deep Learning Model for the Early Prediction of Stroke. Journal of Natural Science Research and Review, 1(4), 78-83. https://doi.org/10.65150/EP-jnsrr/V1E4/2025-02
@article{Asogwa2025,
title = {Development of a Deep Learning Model for the Early Prediction of Stroke},
author = {Asogwa Tochukwu Chijindu},
journal = {Journal of Natural Science Research and Review},
year = {2025},
volume = {1},
number = {4},
pages = {78-83},
doi = {10.65150/EP-jnsrr/V1E4/2025-02},
url = {https://doi.org/10.65150/EP-jnsrr/V1E4/2025-02}
}Questions about this article
Who wrote this article?
Asogwa Tochukwu Chijindu.
Where and when was it published?
In Journal of Natural Science Research and Review, Volume 1, Issue 4, pages 78-83, published by EP Journals Group on 24 October 2025.
Is this article free to read?
Yes. It is open access under a Creative Commons Attribution 4.0 (CC BY 4.0) licence, so anyone can read, share and reuse it with attribution.
What is the DOI of this article?
10.65150/EP-jnsrr/V1E4/2025-02 (https://doi.org/10.65150/EP-jnsrr/V1E4/2025-02).
How do I cite this article?
APA: Asogwa Tochukwu Chijindu (2025). Development of a Deep Learning Model for the Early Prediction of Stroke. Journal of Natural Science Research and Review, 1(4), 78-83. https://doi.org/10.65150/EP-jnsrr/V1E4/2025-02
More research from JNSRR
- Impact of Agricultural Sulfur and Ground Yellow Corn Cob Amendments on Soil Nutrient Availability and Safflower (Carthamus Tinctorius L.) Growth
Ismail Razak Al-Shahbani · Oct 2026
- Novel Proposal of the Cosmological Constant: Dark Energy, Dark Matter, and the Accelerated Expansion of the Universe
Lie Chun Pong · Oct 2026
- The N+1-Dimensional Framework: Folding Energy is the Main Source of Dark Energy in Brane Cosmology
Lie Chun Pong · Oct 2026
- Optimizing Growth Dynamics and Vase Life Extension of Daffodil (Narcissus Tazetta L. Var. Orientalis 'Double Roman') Through High-Dose Compost and GA₃ Pre-Treatment
Sarah Hussein Al-Shammari · Oct 2026
- Curvature Diagnostics in Lorentzian Geometry with Applications to General Relativity
Brima Conteh, Momoh Kamara, Christian Abu Sandy · Oct 2026