Enrico Longato

35 papers B 2Journal 10Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
The association of environmental exposure with multiple sclerosis severity score: A study based on sequential data modeling.
Int. J. Medical Informatics
Mahin Vazifehdan, Pietro Bosoni, Erica Tavazzi, Enrico Longato, Eleonora Tavazzi, Roberto Bergamaschi, Barbara Di Camillo, Ameen Abu-Hanna, Riccardo Bellazzi, Arianna Dagliati
2025 — conf
A Dynamic Bayesian Network Approach for Generating Synthetic Longitudinal Clinical Data: A Case Study on Long-Term Diabetes Outcomes.
BIBM
Sara Poletto, Noemi Gonzato, Erica Tavazzi, Enrico Longato, Amanda Adler, Mari-Anne Gall, Matthias Müllenborn, Barbara Di Camillo, Martina Vettoretti
2025 — ed.
Computational Intelligence Methods for Bioinformatics and Biostatistics - 18th International Meeting, CIBB 2023, Padua, Italy, September 6-8, 2023, Revised Selected Papers
CIBB
Martina Vettoretti, Erica Tavazzi, Enrico Longato, Giacomo Baruzzo, Massimo Bellato
2025 — conf
Deep Learning Model Predicts Relapse Occurrence in Multiple Sclerosis Via Sequences of Environmental Data.
BIBM
Enrico Longato, Erica Tavazzi, Anna Milani, Elena Marinello, Pietro Bosoni, Arianna Dagliati, Mahin Vazifehdan, Riccardo Bellazzi, Isotta Trescato, Alessandro Guazzo, Martina Vettoretti, Eleonora Tavazzi, Lara Ahmad, Roberto Bergamaschi, Paola Cavalla, Umberto Manera, Adriano Chiò, Barbara Di Camillo
2025 — conf
Exploring the Use of Projecting Conflicting Gradients in Multi-task Neural Networks with an Application to Amyotrophic Lateral Sclerosis.
AIME (1)
Davide Dei Cas, Enrico Longato, Erica Tavazzi, Umberto Manera, Adriano Chiò, Marta Gromicho, Inês Alves, Mamede de Carvalho, Barbara Di Camillo
2025 J jnl
The impact of clinical history on the predictive performance of machine learning and deep learning models for renal complications of diabetes.
Comput. Methods Programs Biomed.
Davide Dei Cas, Barbara Di Camillo, Gian Paolo Fadini, Giovanni Sparacino, Enrico Longato
2024 — conf
Characterization of Chronic Kidney Disease Progression in Patients with Diabetes via Group-Based Multi-Trajectory Modeling.
EMBC
Alessandro Guazzo, Enrico Longato, Gian Paolo Fadini, Giovanni Sparacino, Rema Padman, Barbara Di Camillo
2024 J jnl
Effect of Clinical History on Predictive Model Performance for Renal Complications of Diabetes.
CoRR
Davide Dei Cas, Barbara Di Camillo, Gian Paolo Fadini, Giovanni Sparacino, Enrico Longato
2024 J jnl
Exploring the Impact of Environmental Pollutants on Multiple Sclerosis Progression.
CoRR
Elena Marinello, Erica Tavazzi, Enrico Longato, Pietro Bosoni, Arianna Dagliati, Mahin Vazifehdan, Riccardo Bellazzi, Isotta Trescato, Alessandro Guazzo, Martina Vettoretti, Eleonora Tavazzi, Lara Ahmad, Roberto Bergamaschi, Paola Cavalla, Umberto Manera, Adriano Chiò, Barbara Di Camillo
2024 — conf
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024.
CLEF (2)
Giovanni Birolo, Pietro Bosoni, Guglielmo Faggioli, Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Alessandro Guazzo, Enrico Longato, Sara C. Madeira, Umberto Manera, Stefano Marchesin, Laura Menotti, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
2024 — conf
Machine Learning Models Highlight the Impact of Pollution and Weather Patterns on Relapse Occurrence in Multiple Sclerosis Patients.
BIBM
Elena Marinello, Erica Tavazzi, Enrico Longato, Pietro Bosoni, Arianna Dagliati, Mahin Vazifehdan, Riccardo Bellazzi, Isotta Trescato, Alessandro Guazzo, Martina Vettoretti, Eleonora Tavazzi, Lara Ahmad, Roberto Bergamaschi, Paola Cavalla, Umberto Manera, Adriano Chiò, Barbara Di Camillo
2024 — conf
Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge.
CLEF (Working Notes)
Giovanni Birolo, Pietro Bosoni, Guglielmo Faggioli, Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Alessandro Guazzo, Enrico Longato, Sara C. Madeira, Umberto Manera, Stefano Marchesin, Laura Menotti, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
2024 — conf
Predicting Multiple Sclerosis Worsening Using Stratification-Based and Time-Dependent Variables Extracted from Routine Visits Data.
LOD (2)
Alessandro Guazzo, Enrico Longato, Isotta Trescato, Erica Tavazzi, Adriano Chiò, Umberto Manera, Grazia Zocco, Paola Cavalla, Marco Vercellino, Lara Ahmad, Eleonora Tavazzi, Roberto Bergamaschi, Rema Padman, Barbara Di Camillo
2024 J jnl
Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility study.
BMC Medical Informatics Decis. Mak.
Alessandro Guazzo, Michele Atzeni, Elena Idi, Isotta Trescato, Erica Tavazzi, Enrico Longato, Umberto Manera, Adriano Chiò, Marta Gromicho, Inês Alves, Mamede de Carvalho, Martina Vettoretti, Barbara Di Camillo
2024 — conf
Unveiling Trustworthy AI Challenges: Characterizing Prediction Reliability.
RTSI
Isotta Trescato, Alessandro Guazzo, Enrico Longato, Erica Tavazzi, Martina Vettoretti, Umberto Manera, Adriano Chiò, Marta Gromicho, Inês Alves, Mamede de Carvalho, Barbara Di Camillo
2024 — conf
Using Wearable and Environmental Data to Improve the Prediction of Amyotrophic Lateral Sclerosis and Multiple Sclerosis Progression: an Explorative Study.
CLEF (Working Notes)
Elena Marinello, Alessandro Guazzo, Enrico Longato, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo
2023 J jnl
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review.
Artif. Intell. Medicine
Erica Tavazzi, Enrico Longato, Martina Vettoretti, Helena Aidos, Isotta Trescato, Chiara Roversi, Andreia S. Martins, Eduardo N. Castanho, Ruben Branco, Diogo F. Soares, Alessandro Guazzo, Giovanni Birolo, Daniele Pala, Pietro Bosoni, Adriano Chiò, Umberto Manera, Mamede de Carvalho, Bruno Miranda, Marta Gromicho, Inês Alves, Riccardo Bellazzi, Arianna Dagliati, Piero Fariselli, Sara C. Madeira, Barbara Di Camillo
2023 — conf
Baseline Machine Learning Approaches To Predict Multiple Sclerosis Disease Progression.
CLEF (Working Notes)
Alessandro Guazzo, Isotta Trescato, Enrico Longato, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo
2023 — conf
DAVI: A Dataset for Automatic Variant Interpretation.
CLEF
Francesca Longhin, Alessandro Guazzo, Enrico Longato, Nicola Ferro, Barbara Di Camillo
2023 B conf
Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis.
AIME
Enrico Longato, Erica Tavazzi, Adriano Chiò, Gabriele Mora, Giovanni Sparacino, Barbara Di Camillo
2023 — conf
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023.
CLEF
Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
2023 — conf
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.
CLEF (Working Notes)
Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
2022 — conf
Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression.
CLEF (Working Notes)
Isotta Trescato, Alessandro Guazzo, Enrico Longato, Enidia Hazizaj, Chiara Roversi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo
2022 — ed.
Computational Intelligence Methods for Bioinformatics and Biostatistics - 17th International Meeting, CIBB 2021, Virtual Event, November 15-17, 2021, Revised Selected Papers
CIBB
Davide Chicco, Angelo M. Facchiano, Erica Tavazzi, Enrico Longato, Martina Vettoretti, Anna Bernasconi, Simone Avesani, Paolo Cazzaniga
2022 — conf
Explainable Deep-Learning Model Reveals Past Cardiovascular Disease in Patients with Diabetes Using Free-Form Visit Reports.
LOD (1)
Alessandro Guazzo, Enrico Longato, Gian Paolo Fadini, Mario Luca Morieri, Giovanni Sparacino, Barbara Di Camillo
2022 — conf
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022.
CLEF
Alessandro Guazzo, Isotta Trescato, Enrico Longato, Enidia Hazizaj, Dennis Dosso, Guglielmo Faggioli, Giorgio Maria Di Nunzio, Gianmaria Silvello, Martina Vettoretti, Erica Tavazzi, Chiara Roversi, Piero Fariselli, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro
2022 — conf
Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge.
CLEF (Working Notes)
Alessandro Guazzo, Isotta Trescato, Enrico Longato, Enidia Hazizaj, Dennis Dosso, Guglielmo Faggioli, Giorgio Maria Di Nunzio, Gianmaria Silvello, Martina Vettoretti, Erica Tavazzi, Chiara Roversi, Piero Fariselli, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro
2022 J jnl
Time-series analysis of multidimensional clinical-laboratory data by dynamic Bayesian networks reveals trajectories of COVID-19 outcomes.
Comput. Methods Programs Biomed.
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, Roberto Vettor, Gian Paolo Fadini
2021 J jnl
A Deep Learning Approach to Predict Diabetes' Cardiovascular Complications From Administrative Claims.
IEEE J. Biomed. Health Informatics
Enrico Longato, Gian Paolo Fadini, Giovanni Sparacino, Angelo Avogaro, Lara Tramontan, Barbara Di Camillo
2021 — conf
Comparing the Predictive Power of Heart Failure Hospitalisation Risk Scores in the Diabetic Outpatient Clinic and Primary Care Settings.
BIBM
Alessandro Guazzo, Alessandro Battaggia, Enrico Longato, Bruno Franco-Novelletto, Angelo Avogaro, Gian Paolo Fadini, Maurizio Cancian, Barbara Di Camillo, Giovanni Sparacino, Massimo Fusello
2021 B conf
Recurrent Neural Network to Predict Renal Function Impairment in Diabetic Patients via Longitudinal Routine Check-up Data.
AIME
Enrico Longato, Gian Paolo Fadini, Giovanni Sparacino, Angelo Avogaro, Barbara Di Camillo
2020 J jnl
A practical perspective on the concordance index for the evaluation and selection of prognostic time-to-event models.
J. Biomed. Informatics
Enrico Longato, Martina Vettoretti, Barbara Di Camillo
2019 — conf
Detecting Undiagnosed Diabetes: Proof-of-Concept Based on the Health-Information Exchange System of the Veneto Region (North-East Italy).
EMBC
Enrico Longato, Barbara Di Camillo, Giovanni Sparacino, Claudio Saccavini, Arianna Cocchiglia, Lara Tramontan, Gian Paolo Fadini
2018 J jnl
Glycaemic variability-based classification of impaired glucose tolerance vs. type 2 diabetes using continuous glucose monitoring data.
Comput. Biol. Medicine
Enrico Longato, Giada Acciaroli, Andrea Facchinetti, Liisa Hakaste, Tuomi Tiinamaija, Alberto Maran, Giovanni Sparacino
2018 — conf
Importance of Recalibrating Models for Type 2 Diabetes Onset Prediction: Application of the Diabetes Population Risk Tool on the Health and Retirement Study.
EMBC
Martina Vettoretti, Enrico Longato, Barbara Di Camillo, Andrea Facchinetti