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Comparative Analysis on Stroke Prediction using various Supervised Machine Learning Techniques
International Journal for Research in Applied Science and Engineering Technology
In a recent study by WHO, it showed that, a human gets trapped in a serious medical emergency known as stroke, that is caused by the sudden interrupt of blood supply to the brain, which is also the death cause of 11% population globally. In this research we have identified the major parameters and performed predictive analysis and compared the results using five different machine learning algorithms i.e., Random Forest, Decision Tree, Support Vector Machine, K Nearest Neighbour and Logisticdoi:10.22214/ijraset.2021.34416 fatcat:we6d4q7ttnc5fgpnirncwlas7y