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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Published Paper Details:
Paper Title
BRAIN STROKE PREDICTION USING SUPERVISED MACHINE LEARNING
Authors
Kallam Bhavishya, Shaik.Althaf Rahaman
Keywords
Index Terms - Machine learning, K-nearest, Naive bayes, Brain Stroke
Abstract
A Stroke is a medical disorder that damages the brain by rupturing blood vessels. It can also happen when the brain's blood flow and other nutrients are interrupted. Stroke is the greatest cause of death and disability worldwide, according to the World Health Organization (WHO). The majority of research has focused on the prediction of heart stroke, while just a few studies have looked at the likelihood of a brain stroke. With this in mind, various machine learning models are being developed to forecast the likelihood of a brain stroke. This article employed machine learning techniques like K-Nearest and Nave Bayes Classification to model many physiological parameters for accurate prediction and discover the optimum approach.
IJCRT's Publication Details
Unique Identification Number - IJCRT22A6052
Paper ID - 220967
Page Number(s) - a371-a374
Pubished in - Volume 10 | Issue 6 | June 2022
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Kallam Bhavishya, Shaik.Althaf Rahaman, "BRAIN STROKE PREDICTION USING SUPERVISED MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 6, pp.a371-a374, June 2022, Available at :http://www.ijcrt.org/papers/IJCRT22A6052.pdf
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Volume 12 | Issue 5
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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