Detecting Undiagnosed Diabetes: Proof-of-Concept Based on the Health-Information Exchange System of the Veneto Region (North-East Italy). - Enrico Longato; Barbara Di Camillo; Giovanni Sparacino; Claudio Saccavini; Arianna Cocchiglia; Lara Tramontan; Gian Paolo Fadini (EMBC, 2019)

Recurrent Neural Network to Predict Renal Function Impairment in Diabetic Patients via Longitudinal Routine Check-up Data. - Enrico Longato; Gian Paolo Fadini; Giovanni Sparacino; Angelo Avogaro; Barbara Di Camillo (AIME, 2021)

Comparing the Predictive Power of Heart Failure Hospitalisation Risk Scores in the Diabetic Outpatient Clinic and Primary Care Settings. - Alessandro Guazzo; Alessandro Battaggia; Enrico Longato; Bruno Franco-Novelletto; Angelo Avogaro; Gian Paolo Fadini; Maurizio Cancian; Barbara Di Camillo; Giovanni Sparacino; Massimo Fusello (BIBM, 2021)

A Deep Learning Approach to Predict Diabetes' Cardiovascular Complications From Administrative Claims. - Enrico Longato; Gian Paolo Fadini; Giovanni Sparacino; Angelo Avogaro; Lara Tramontan; Barbara Di Camillo (IEEE J. Biomed. Health Informatics, 2021)

Explainable Deep-Learning Model Reveals Past Cardiovascular Disease in Patients with Diabetes Using Free-Form Visit Reports. - Alessandro Guazzo; Enrico Longato; Gian Paolo Fadini; Mario Luca Morieri; Giovanni Sparacino; Barbara Di Camillo (LOD (1), 2022)

Time-series analysis of multidimensional clinical-laboratory data by dynamic Bayesian networks reveals trajectories of COVID-19 outcomes. - Enrico Longato; Mario Luca Morieri; Giovanni Sparacino; Barbara Di Camillo; Annamaria Cattelan; Sara Lo Menzo; Marco Trevenzoli; Andrea Vianello; Gabriella Guarnieri; Federico Lionello; Angelo Avogaro; Paola Fioretto; et al. (Comput. Methods Programs Biomed., 2022)

Characterization of Chronic Kidney Disease Progression in Patients with Diabetes via Group-Based Multi-Trajectory Modeling. - Alessandro Guazzo; Enrico Longato; Gian Paolo Fadini; Giovanni Sparacino; Rema Padman; Barbara Di Camillo (EMBC, 2024)

Effect of Clinical History on Predictive Model Performance for Renal Complications of Diabetes. - Davide Dei Cas; Barbara Di Camillo; Gian Paolo Fadini; Giovanni Sparacino; Enrico Longato (CoRR, 2024)

The impact of clinical history on the predictive performance of machine learning and deep learning models for renal complications of diabetes. - Davide Dei Cas; Barbara Di Camillo; Gian Paolo Fadini; Giovanni Sparacino; Enrico Longato (Comput. Methods Programs Biomed., 2025)