This dataset contains an example of anonymized diabetic patients 2010-2014. If you have experience in python programming language and scikit-learn library you can try to extract forecast of increasing hypertension rate in one year prediction. Also, yoou can try extract SHAP analysis by features of dataset. For full access, please contact Professor Absuzhapar Gaipov
diabetes.csv file of dataset diabetes.dta file of datasetAccording to the World Health Organization (WHO) stroke is the 2nd leading cause of death globally, responsible for approximately 11% of total deaths. This dataset is used to predict whether a patient is likely to get stroke based on the input parameters like gender, age, various diseases, and smoking status. Each row in the data provides relavant information about the patient.
stroke.csv file of dataset stroke.dta file of dataset