UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 9
September-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2109380


Registration ID:
315345

Page Number

d710-d717

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Title

Stroke Prediction using Machine Learning

Abstract

Blood vessel carries oxygen and nutrients to the brain. A Stroke occurs when a blood vessel is either blocked by a clot or bursts. When the clot or bursts occur, part of the brain cannot get the blood needed, so blood cell dies. Stroke can be controlled by its earlier prediction and taking the best treatment. For our work, we collected the dataset of various patients from Kaggle which contains various medical factors. We used Jupyter notebook to work on this dataset. Machine learning algorithms are used to predict whether the person is suffering from a stroke or not. We preprocessed the data by identifying and handling the missing values. One Hot encoder to convert the categorical values into numerical values. The Feature Scaling step is used to normalize the range of independent variables. We have many machine learning algorithms for prediction among them we used logistic regression, decision tree classifier, support vector machine classifier. Training the dataset by all three models and finding the accuracy, f1-score, recall, precision to choose which machine learning algorithm provides us the best accuracy for our dataset. In turn, this helps the patients in the real- world for early prediction of stroke.

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"Stroke Prediction using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 9, page no.d710-d717, September-2021, Available :http://www.jetir.org/papers/JETIR2109380.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Stroke Prediction using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 9, page no. ppd710-d717, September-2021, Available at : http://www.jetir.org/papers/JETIR2109380.pdf

Publication Details

Published Paper ID: JETIR2109380
Registration ID: 315345
Published In: Volume 8 | Issue 9 | Year September-2021
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.28202
Page No: d710-d717
Country: Mandya , Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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