MACHINE LEARNING ALGORITHM FOR STROKE DISEASE CLASSIFICATION AND ALERT SYSTEM

Registration ID: IJNRD_212188

Published ID: IJNRDTH00103

: Click Here to Get

Harshitha C, Neha.R, Mahanth.S, Charis.Susanna, Mr. Himansu Sekhar Rout

Stroke is a leading cause of mortality and morbidity globally. Early detection and timely intervention can significantly reduce the risk of long-term disability and death. Machine learning algorithms have shown great promise in stroke diagnosis and classification, allowing for faster and more accurate decision- making. This research paper proposes a stroke disease classification and alert system using machine learning algorithms. The proposed system consists of three stages: data preprocessing, feature extraction, and classification. The data preprocessing stage involves the cleaning and normalization of data to removeany noise and inconsistencies. The feature extraction stage utilizes the extracted features from the data to generate a reduced feature set for efficient classification. Finally, the classification stage employs machine learning algorithms such as support vector machines (SVMs), decision trees, and random forests for stroke classification. The proposed system is trained and tested using a publicly available dataset of strokepatients. Experimental results demonstrate that the proposed system achieves high accuracy, sensitivity, and specificity in stroke classification. Furthermore, the proposed system includes an alert system that provides timely notifications to healthcare professionals for immediate intervention. The proposed system can be used as an auxiliary tool to assist healthcare professionals in stroke diagnosis and classification, providing faster and more accurate decision-making.

Published Paper   E-Certificate

Harshitha C, Neha.R, Mahanth.S, Charis.Susanna, & Mr. Himansu Sekhar Rout (January-2024). MACHINE LEARNING ALGORITHM FOR STROKE DISEASE CLASSIFICATION AND ALERT SYSTEM. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(1), 491-541. https://ijnrd.org/papers/IJNRDTH00103.pdf

Volume 9 Issue 1, January-2024

Pages : 491-541

Paper Reg. ID: IJNRD_212188

Published Paper Id: IJNRDTH00103

Downloads: 000122018

Research Area: Computer Engineering 

Author Type: Indian Author

Country: bangalore40, karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRDTH00103.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRDTH00103

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

UGC CARE JOURNAL PUBLICATION | ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License. and The Open Definition.

You are free to share, adapt, and redistribute the material, provided proper credit is given to the original author. 🛡️ Disclaimer: The content, data, and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses, or consequences arising from its use.

Call For Paper - Volume 10 | Issue 11 | November 2025

IJNRD is a Scholarly Open Access, Peer-Reviewed, Refereed, and UGC CARE Journal Publication with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost, and Transparent Peer Review Journal Publication that adheres to the UGC CARE 2025 Peer-Reviewed Journal Policy and aligns with Scopus Journal Publication standards to ensure the highest level of research quality and credibility.

IJNRD offers comprehensive Journal Publication Services including indexing in all major databases and metadata repositories, Digital Object Identifier (Crossref DOI) assignment for each published article with additional fees, citation generation tools, and full Open Access visibility to enhance global research reach and citation impact.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse academic and professional fields. The journal promotes global knowledge exchange among researchers, developers, academicians, engineers, and practitioners, serving as a trusted platform for innovative, peer-reviewed journal publication and scientific collaboration.

Indexing Coverage: Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many other recognized academic repositories.

How to submit the paper?

By Our website

Click Here to Submit Paper Online

By Mail

Send your paper to editor@ijnrd.org

You can now publish your research in IJNRD. IJNRD is a Transparent Peer-Reviewed Open Access Journal Publication (Refereed Journal), aligning with New UGC and UGC CARE recommendations.

For more details, refer to the official notice: UGC Public Notice

Submit Paper Online

Important Dates for Current issue

Paper Submission Open For: November 2025

Current Issue: Volume 10 | Issue 11 | November 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 30-Nov-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details

Approval, Licenses and Indexing: More Details