The paper entitled "Prediction of ICU admission for COVID-19 patients: a Machine Learning approach based on Complete Blood Count data" authored by Lorenzo Famiglini, Giorgio Bini, Anna Carobene, Andrea Campagner and Federico Cabitza, presented at the international conference CBMS 2021 the 34th edition of the IEEE CBMS International Symposium on Computer-Based Medical Systems has won the "best student paper award" (students: Famiglini, Bini Data Science MSc, and Campagner, PhD candidate) on June 9, 2021.
Department of Informatics, Systems and Communication DISCo