Prevalence And Early Detection of Diabetics Using Machine Learning

The objective of using machine learning for the prevalence and early detection of diabetes is to develop accurate and efficient models that can identify individuals at high risk of developing diabetes or those who already have the disease at an early stage. The aim is to provide timely interventions and treatments to prevent the onset or progression of diabetes-related complications, which can lead to serious health issues such as blindness, kidney failure, and cardiovascular disease.