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)

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)

EMG analysis across different tasks improves prevention screenings in diabetes: a cluster analysis approach. - Weronika Joanna Piatkowska; Fabiola Spolaor; Annamaria Guiotto; Gabriella Guarneri; Angelo Avogaro; Zimi Sawacha (Medical Biol. Eng. Comput., 2022)

Multisensor Integrated Platform Based on MEMS Charge Variation Sensing Technology for Biopotential Acquisition. - Fernanda Irrera; Alessandro Gumiero; Alessandro Zampogna; Federico Boscari; Angelo Avogaro; Michele Antonio Gazzanti Pugliese di Cotrone; Martina Patera; Luigi Della Torre; Nicola Picozzi; Antonio Suppa (Sensors, 2024)