Hypertension-risk-model-main

The dataset comprises demographic and health-related attributes aimed at predicting the risk of hypertension. Each entry includes information on gender, age, smoking habits (current smoker and cigarettes per day), medication for high blood pressure (BPMeds), presence of diabetes, total cholesterol levels, systolic and diastolic blood pressure, body mass index (BMI), heart rate, glucose levels, and the corresponding hypertension risk label (0 for low risk, 1 for high risk). With a total of 13 features, this dataset provides a comprehensive overview of factors contributing to hypertension, facilitating the development of predictive models for risk assessment and prevention strategies.