DiaHealth: A Bangladeshi Dataset for Type 2 Diabetes Prediction

his dataset provides comprehensive information on 5,437 patients, including 14 independent attributes such as demographics, clinical parameters, and medical history. Key features include age, gender, pulse rate, blood pressure (systolic and diastolic), glucose level, BMI, and family history of diabetes and related conditions like hypertension and cardiovascular disease. The dataset is labeled with a binary outcome indicating whether each patient has diabetes. This rich dataset is designed to support the development and evaluation of machine learning models for diabetes detection, management, and treatment.