Project “Telediabetolab”: Knowledge Gain and AI Data Process Applied in Telediabetology

The goal of the proposed paper is to provide a preliminary Artificial Intelligence (AI) approach addressing the analysis on the prevention of diabetes. The study is performed within the framework of the research project Telediabetolab and focuses on the check of the supervised Support Vector machine (SVM) algorithm to define a method to perform a data processing analysis based on predicted diabetes risk. The preliminary study highlights the possibility of defining a multi-parametric approach to prevent the chronic condition of diabetes by considering the pre-diabetes condition. The SVM data processing is executed by analysing different parameters such as blood pressure, body weight, glucose, and blood ones. The predicted results show that there could be cases of diabetics who might not be diabetic and cases of non-risk that could degenerate.