A machine learning approach to early detection of diabetes
The goal of this research is to use machine learning and health indicator data to create a prediction model for diabetes diagnosis. The study finds important patterns linked to diabetes by examining a data set that includes a variety of health metrics, including BMI, blood pressure, cholesterol levels, lifestyle factors (such as smoking, physical activity, and food), and socioeconomic characteristics (such as income and education).