  The Associazione Medici Diabetologi (AMD) collects and manages one of the
largest worldwide-available collections of diabetic patient records, also known
as the AMD database. This paper presents the initial results of an ongoing
project whose focus is the application of Artificial Intelligence and Machine
Learning techniques for conceptualizing, cleaning, and analyzing such an
important and valuable dataset, with the goal of providing predictive insights
to better support diabetologists in their diagnostic and therapeutic choices.
