 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: December 2025
Volume 10 | Issue 12
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19455
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 144
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Stroke Detection |
| Authors Name: | Naveen Kumar , Md Sajid Mansoori |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_187449
|
| Published Paper Id: | IJRTI2306154 |
| Published In: | Volume 8 Issue 6, June-2023 |
| DOI: | |
| Abstract: | Stroke is a condition in which a blood vessel in the brain bursts, causing brain damage. Symptoms can occur when blood and other nutrients to the brain are disrupted. According to the World Health Organization (WHO), stroke is the leading cause of death and disability worldwide. Early recognition of the many warning signs of a stroke can help reduce the risk of stroke. Different machine learning (ML) models have been developed to predict the probability of stroke in the brain.This study uses various physical and machine learning algorithms such as logistic regression (LR), decision tree (DT) classification, random forest (RF) classification, and surveys to train four different models with reliable predictions. Random Forest is the best algorithm for this task with around 96% accuracy. The data used in the development of this method is an open access prediction dataset. The fact that the accuracy of the model used in this survey is higher than in previous studies indicates that the model used in this survey is more reliable. Comparison of general models has shown that they are robust and the process can be inferred from clinical trials. |
| Keywords: | Stroke, Brain damage, prediction dataset, surveys, ML,Leading cause of death and disability, Early recognition |
| Cite Article: | "Stroke Detection ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 6, page no.1038 - 1049, June-2023, Available :http://www.ijrti.org/papers/IJRTI2306154.pdf |
| Downloads: | 000205145 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2306154
Registration ID:187449
Published In: Volume 8 Issue 6, June-2023
DOI (Digital Object Identifier):
Page No: 1038 - 1049 Country: Lucknow, Uttar Pradesh, India Research Area: Master of Computer Application Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2306154 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2306154 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2025 - All Rights Reserved - IJRTI | |||