LONGATO, ENRICO
LONGATO, ENRICO
Dipartimento di Ingegneria dell'Informazione - DEI
A CONSENSUS MODEL TO IMPROVE THE PREDICTION OF TYPE 2 DIABETES ONSET: VALIDATION ON THE MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS DATA
2019 Vettoretti, M; Longato, E; Zandona, A; Li, Y; Madondo, K; Pagan, J; Siscovick, D; Facchinetti, A; Di Camillo, B
A Deep Learning Approach to Predict Diabetes' Cardiovascular Complications from Administrative Claims
2021 Longato, E.; Fadini, G. P.; Sparacino, G.; Avogaro, A.; Tramontan, L.; Di Camillo, B.
A practical perspective on the concordance index for the evaluation and selection of prognostic time-to-event models
2020 Longato, E.; Vettoretti, M.; Di Camillo, B.
Addressing practical issues of predictive models translation into everyday practice and public health management: A combined model to predict the risk of type 2 diabetes improves incidence prediction and reduces the prevalence of missing risk predictions
2020 Vettoretti, M.; Longato, E.; Zandona, A.; Li, Y.; Pagan, J. A.; Siscovick, D.; Carnethon, M. R.; Bertoni, A. G.; Facchinetti, A.; Di Camillo, B.
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review
2023 Tavazzi, E.; Longato, E.; Vettoretti, M.; Aidos, H.; Trescato, I.; Roversi, C.; Martins, A. S.; Castanho, E. N.; Branco, R.; Soares, D. F.; Guazzo, A.; Birolo, G.; Pala, D.; Bosoni, P.; Chio, A.; Manera, U.; de Carvalho, M.; Miranda, B.; Gromicho, M.; Alves, I.; Bellazzi, R.; Dagliati, A.; Fariselli, P.; Madeira, S. C.; Di Camillo, B.
Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression
2022 Trescato, Isotta; Guazzo, Alessandro; Longato, Enrico; Hazizaj, Enidia; Roversi, Chiara; Tavazzi, Erica; Vettoretti, Martina; DI CAMILLO, Barbara
Baseline Machine Learning Approaches To Predict Multiple Sclerosis Disease Progression
2023 Guazzo, A.; Trescato, I.; Longato, E.; Tavazzi, E.; Vettoretti, M.; Di Camillo, B.
Better cardiovascular outcomes of type 2 diabetic patients treated with GLP-1 receptor agonists versus DPP-4 inhibitors in clinical practice
2020 Longato, E.; Di Camillo, B.; Sparacino, G.; Tramontan, L.; Avogaro, A.; Fadini, G. P.
Building a predictive model of diabetes from Veneto’s regional HIE: identification of patients from administrative data
In corso di stampa Longato, Enrico; Fadini, GIAN PAOLO; Tramontan, Lara; Vettoretti, Martina; DI CAMILLO, Barbara; Sparacino, Giovanni
Cardiovascular effectiveness of human-based vs. exendin-based glucagon like peptide-1 receptor agonists: a retrospective study in patients with type 2 diabetes
2021 Longato, E.; Di Camillo, B.; Sparacino, G.; Tramontan, L.; Avogaro, A.; Fadini, G. P.
Cardiovascular outcomes after initiating GLP-1 receptor agonist or basal insulin for the routine treatment of type 2 diabetes: a region-wide retrospective study
2021 Longato, E.; Di Camillo, B.; Sparacino, G.; Tramontan, L.; Avogaro, A.; Fadini, G. P.
Cardiovascular outcomes of type 2 diabetic patients treated with SGLT-2 inhibitors versus GLP-1 receptor agonists in real-life
2020 Longato, E.; Di Camillo, B.; Sparacino, G.; Gubian, L.; Avogaro, A.; Fadini, G. P.
CGM-based glycemic variability indices allow accurate classification of IGT and T2D subjects
2017 Longato, E.; Acciaroli, G.; Facchinetti, A.; Maran, A.; Sparacino, G.; Hakaste, L.; Tuomi, T.; Cobelli, and C.
Comparing the Predictive Power of Heart Failure Hospitalisation Risk Scores Across Different Care Settings
2021 Guazzo, Alessandro; Longato, Enrico; Fadini, GIAN PAOLO; Sparacino, Giovanni; Battaggia, Alessandro; Franco-Novelletto, Bruno; Cnacian, Maurizio; Fusello, Massimo; Avogaro, Angelo; DI CAMILLO, Barbara
Comparing the Predictive Power of Heart Failure Hospitalisation Risk Scores in the Diabetic Outpatient Clinic and Primary Care Settings
2021 Guazzo, Alessandro; Longato, Enrico; Fadini, GIAN PAOLO; Sparacino, Giovanni; Battaggia, Alessandro; Franco-Novelletto, Bruno; Cnacian, Maurizio; Fusello, Massimo; Avogaro, Angelo; DI CAMILLO, Barbara
Computational Intelligence Methods for Bioinformatics and Biostatistics - 17th International Meeting, CIBB 2021, Virtual Event, November 15–17, 2021, Revised Selected Papers
2022 Chicco, Davide; Facchiano, Angelo; Tavazzi, Erica; Longato, Enrico; Vettoretti, Martina; Bernasconi, Anna; Avesani, Simone; Cazzaniga, Paolo
DAVI: A Dataset for Automatic Variant Interpretation
2023 Longhin, F.; Guazzo, A.; Longato, E.; Ferro, N.; Di Camillo, B.
Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis
2023 Longato, Enrico; Tavazzi, Erica; Chió, Adriano; Mora, Gabriele; Sparacino, Giovanni; Di Camillo, Barbara
Deep-learning-based natural-language-processing models to identify cardiovascular disease hospitalisations of patients with diabetes from routine visits' text
2023 Guazzo, Alessandro; Longato, Enrico; Fadini, Gian Paolo; Morieri, Mario Luca; Sparacino, Giovanni; Di Camillo, Barbara
Detecting Undiagnosed Diabetes: Proof-of-Concept Based on the Health-Information Exchange System of the Veneto Region (North-East Italy)
2019 Longato, Enrico; Camillo, Barbara Di; Sparacino, Giovanni; Saccavini, Claudio; Cocchiglia, Arianna; Tramontan, Lara; Fadini, Gian Paolo