Personalized Lifestyle Interventions for Diabetes Prevention: A Machine Learning-Driven Smart Healthcare Approach

The rising incidence of type 2 diabetes is a major threat to international health. The risk of developing diabetes is strongly influenced by aspects of one's lifestyle. Lifestyle changes, in particular, have the potential to reduce this danger. This paper presents a revolutionary smart healthcare system powered by machine learning, with the goal of predicting the risk of developing type 2 diabetes and delivering individualized therapies. The framework aims to transform diabetes prevention tactics by integrating IoT, edge computing, and cloud computing.