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.
@article{arxiv.2206.06182,
title = {AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes},
author = {Marianna Maranghi and Aris Anagnostopoulos and Irene Cannistraci and Ioannis Chatzigiannakis and Federico Croce and Giulia Di Teodoro and Michele Gentile and Giorgio Grani and Maurizio Lenzerini and Stefano Leonardi and Andrea Mastropietro and Laura Palagi and Massimiliano Pappa and Riccardo Rosati and Riccardo Valentini and Paola Velardi},
journal= {arXiv preprint arXiv:2206.06182},
year = {2022}
}
Comments
The work has been presented at the conference Ital-IA 2022 (https://www.ital-ia2022.it/)