The dataset used in the development of the method was the open-access Stroke Prediction dataset. It is used to predict whether a patient is likely to get stroke based on the input parameters like age, various diseases, bmi, average glucose level and smoking status. K-nearest neighbor and random forest algorithm are used in the dataset.
