AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes

Marianna Maranghi, Aris Anagnostopoulos, Irene Cannistraci, Ioannis Chatzigiannakis, Federico Croce, Giulia Di Teodoro, Michele Gentile, Giorgio Grani, Maurizio Lenzerini, Stefano Leonardi, Andrea Mastropietro, Laura Palagi, Massimiliano Pappa, Riccardo Rosati, Riccardo Valentini, Paola Velardi
January, 2022
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Abstract

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.

Type
Preprint
Publication
arXiv preprint arXiv:2206.06182
Irene Cannistraci
Irene Cannistraci
Ph.D. Student in Computer Science, Sapienza University of Rome
GLADIA Research Group

I am a Ph.D. student in Computer Science passionate about Deep Learning.