文章基本信息

标题：Brain Stroke Prediction Bachelor Of Technology In Computer Science Engineering
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作者：Bhavyanshu Ghariya ; Satwik Rai ; YashSawant 等
期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：10
页码：813-819
DOI：10.35629/5252-0310624636
语种：English
出版社：IJAEM JOURNAL
摘要：A Stroke is a health condition that causes damage by tearing the blood vessels in the brain. It can also occur when there is a halt in the blood flow and other nutrients to the brain. According to the World Health Organization (WHO), stroke is the leading cause of death and disability globally. Most of the work has been carried out on the prediction of heart stroke but very few works show the risk of a brain stroke. With this thought, various machine learning models are built to predict the possibility of stroke in the brain. This paper has taken various physiological factors and used machine learning algorithms like Logistic Regression, Decision Tree Classification, Random Forest Classification, K-Nearest Neighbors, Support Vector Machine and Naïve Bayes Classification to train five different models for accurate prediction. The algorithm that best performed this task is Logistic Regression that gave an accuracy of approximately 82%.