Stroke Risk Prediction Using Machine Learning Algorithms

Authors

  • Rishabh Gurjar  Department of Computer Science and Engineering. The National Institute of Engineering, Mysore, Karnataka, India
  • Sahana H K  Department of Computer Science and Engineering. The National Institute of Engineering, Mysore, Karnataka, India
  • Neelambika C  Department of Computer Science and Engineering. The National Institute of Engineering, Mysore, Karnataka, India
  • Sparsha B Sathish  Department of Computer Science and Engineering. The National Institute of Engineering, Mysore, Karnataka, India
  • Ramys S  Assistant Professor, Department of Computer Science and Engineering. The National Institute of Engineering, Mysore, Karnataka, India

DOI:

https://doi.org//10.32628/CSEIT2283121

Keywords:

Stroke, Machine Learning, Data Analysis, Normalization, Scalarization, ML Algorithms, Accuracy, Results.

Abstract

The majority of strokes are brought on by unforeseen obstruction of pathways by the heart and brain. Distinct classifiers have been developed for early detection of different stroke warning symptoms, including Logistics Regression, Decision Tree, KNN, Random Forest, and Naïve Bayes. Furthermore, the proposed research has obtained an accuracy of around 95.4%, with the Random Forest outperforming the other classifiers. This model has the highest stroke prediction accuracy. Therefore, Random Forest is almost the perfect classifier for foretelling stroke, which doctors and patients can utilise to prescribe and identify likely strokes early. Here in our research we have created a website to which model is dumped/loaded, such that the interface will be friendly to the end-users.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2022-07-05

Issue

Volume 8, Issue 4, July-August-2022

Section

Research Articles

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Copyright (c) IJSRCSEIT

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Rishabh Gurjar, Sahana H K, Neelambika C, Sparsha B Sathish, Ramys S, " Stroke Risk Prediction Using Machine Learning Algorithms, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 4, pp.20-25, July-August-2022. Available at doi : https://doi.org/10.32628/CSEIT2283121