Lifestyle and Dietary Habits Dataset for Type 2 Diabetes Risk Prediction

This dataset contains survey-based information on the lifestyle and dietary habits of diabetic and non-diabetic individuals, allowing for the analysis of risk factors for Type 2 Diabetes. It includes variables such as age, BMI, physical activity, diet patterns, sleep habits, stress levels, and pre-existing health conditions. Data were collected using structured questionnaires and anonymized to ensure participant privacy. The dataset is suitable for research in healthcare and artificial intelligence, enabling machine learning models, such as K-Nearest Neighbors (KNN), to predict diabetes risk. It provides a resource for researchers and practitioners to explore correlations between lifestyle factors and diabetes, validate predictive models, and develop AI-driven health assessment tools.