Stroke Disease Detection and Prediction using Extreme Gradient Boosting

when the brain receives insufficient blood supply, a stroke can occur, that results in cell death. Strokes with ischemia and hemorrhage, which refer to bleeding or an inadequate blood [1]. Both halt particular brain processes in their tracks. a loss of balance, trouble speaking or understanding, and side vision loss, and difficulty moving or feeling on one side of the body are all potential indicators of a stroke. After a stroke, symptoms and signs frequently start to show very quickly. A transient ischemic attack (TIA) also referred to as a mini-stroke, is a stroke type that develops when symptoms last for less than an hour or two. A severe headache could potentially be a symptom of a hemorrhagic stroke. A stroke may leave behind permanent symptoms. Pneumonia and a loss of bladder control are examples of long-term consequences. This study aims to test our XGB Classifier's capabilities with categorical encoding options. I removed outliers and extremely unusual category variables from this dataset after little preprocessing. I removed the "id" columns as well. The findings of this study provide more accurate warnings for cardiac patients who are at risk for stroke than currently used medical grading techniques. A set of imaging data can be used to identify methods for various stroke kinds and risk ranges for next studies.