A Survey on Detection of Stroke Using Various Machine Learning Approaches

Authors

  • Priyanka S R  M. Tech CSSE Scholar, Government Engineering College, Idukki, India
  • Deepa S S  Associate Professor, Government Engineering College, Idukki, India

DOI:

https://doi.org//10.32628/IJSRSET207134

Keywords:

Stroke, Machine Learning, Feature Selection

Abstract

Stroke is a sudden interruption of blood supply to brain. This is due to lack of oxygen caused by blockage of blood flow. Machine learning (ML) considered as a branch of artificial intelligence which is effective in spotting complex patterns in large medical data. ML is well suited in large medical applications especially those that depends on complex protomic and genomic measurement. There are several ML techniques that are used for various disease detection and predictions. This paper mainly focused on such techniques and feature selection mechanism that are useful for detecting stroke.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2020-02-29

Issue

Volume 7, Issue 1, January-February-2020

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

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

How to Cite

[1]
Priyanka S R, Deepa S S, " A Survey on Detection of Stroke Using Various Machine Learning Approaches, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 7, Issue 1, pp.305-311, January-February-2020. Available at doi : https://doi.org/10.32628/IJSRSET207134