In this paper, we present AID-GM, a web application for the analysis and summarization of continuous blood glucose monitoring data in patients with Type 1 Diabetes. AID-GM allows patients and their care providers to share data and analyze them thanks to a set of advanced and personalized intelligent data analysis tools. Such tools enable the extraction of complex multivariate temporal patterns from data. We present a preliminary evaluation of the functionalities of the tool, both on a set of healthy volunteers, and on real patients' data in the pediatric context.
Keywords: BG continuous monitoring; telemedicine; temporal data analysis.