Automated Prediction of Brain Stroke Disease Classification Using Machine Learning Algorithm Techniques

Abstract

Abstract: The brain is the human body's primary upper organ. Strokes might leave you unable for a long time. Stroke is the top cause of death throughout the world. A stroke occurs when the brain's blood supply becomes exhausted and stops working. There are 2 main causes of stroke: an obstructed passage (ischemic stroke) or a leak or burst of vessels (hemorrhagic stroke).Predicting strokes early produces a better quantity that is cost-effective for the time of onset. Strokes are mainly caused by people's decisions about their habits, especially in the current scenario by changing people who like high blood sugar, strokes, obesity, diabetes, and hypertension. This evaluation used various deep learning (DL) algorithms such as CNN, Densenet and VGG16. The model is exploited with great accuracy in each of the subsequent algorithms in this study work to forecast the event for the fresh provided inputs. Keywords: Tensorflow, Opencv, Image Processing, Model File.