@article {, title = {Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach}, journal = {Artificial Intelligence in Medicine}, year = {2020}, pages = {101847}, author = {Bernardini, Michele and Morettini, Micaela and Romeo, Luca and Frontoni, Emanuele and Burattini, Laura} } @article {, title = {TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health Records}, journal = {Computers in Biology and Medicine}, volume = {112}, year = {2019}, pages = {103358}, author = {Bernardini, Michele and Morettini, Micaela and Romeo, Luca and Frontoni, Emanuele and Burattini, Laura} }