Comparison of two temporal abstraction procedures: a case study in prediction from monitoring data. - Marion Verduijn; Arianna Dagliati; Lucia Sacchi; Niels Peek; Riccardo Bellazzi; Evert de Jonge; Bas A. de Mol (AMIA, 2005)

The ONCO-I2b2 Project: Integrating Biobank Information and Clinical Data to Support Translational Research in Oncology. - Daniele Segagni; Valentina Tibollo; Arianna Dagliati; Leonardo Perinati; Alberto Zambelli; Silvia G. Priori; Riccardo Bellazzi (MIE, 2011)

An ICT infrastructure to integrate clinical and molecular data in oncology research. - Daniele Segagni; Valentina Tibollo; Arianna Dagliati; Alberto Zambelli; Silvia G. Priori; Riccardo Bellazzi (BMC Bioinform., 2012)

Mining Careflow Patterns in data warehouses of breast cancer patients. - Lucia Sacchi; Daniele Segagni; Arianna Dagliati; Alberto Zambelli; Riccardo Bellazzi (AMIA, 2013)

A data gathering framework to collect Type 2 diabetes patients data. - Arianna Dagliati; Lucia Sacchi; Mauro Bucalo; Daniele Segagni; Konstantia Zarkogianni; Antonio Martinez-Millana; Jorge Cancela; Francesco Sambo; Giuseppe Fico; Maria Teresa Meneu Barreira; Carlo Cerra; Konstantina S. Nikita; et al. (BHI, 2014)

Temporal data mining and process mining techniques to identify cardiovascular risk-associated clinical pathways in Type 2 diabetes patients. - Arianna Dagliati; Lucia Sacchi; Carlo Cerra; Paola Leporati; Pasquale De Cata; Luca Chiovato; John H. Holmes; Riccardo Bellazzi (BHI, 2014)

Temporal abstractions to enrich Activity-Based Process Mining corpus with clinical time series. - Carlos Fernández-Llatas; Lucia Sacchi; José-Miguel Benedí; Arianna Dagliati; Vicente Traver 001; Riccardo Bellazzi (BHI, 2014)

A proposal of architecture to share patients data out of healthcare settings for research purposes. - Liss Hernández; Jorge Onieva; Giuseppe Fico; Jorge Cancela; Arianna Dagliati; Mauro Bucalo; Lucia Sacchi; Riccardo Bellazzi; María Teresa Arredondo (BHI, 2014)

Improving risk-stratification of Diabetes complications using temporal data mining. - Lucia Sacchi; Arianna Dagliati; Daniele Segagni; Paola Leporati; Luca Chiovato; Riccardo Bellazzi (EMBC, 2015)

Template for preparation of papers for IEEE sponsored conferences & symposia. - Lucia Sacchi; Arianna Dagliati; Valentina Tibollo; Paola Leporati; Pasquale De Cata; Carlo Cerra; Luca Chiovato; Riccardo Bellazzi (EMBC, 2015)

Inferring air quality maps from remotely sensed data to exploit georeferenced clinical onsets: The Pavia 2013 case. - Andrea Marinoni; Arianna Dagliati; Riccardo Bellazzi; Paolo Gamba (IGARSS, 2015)

On The Correlation Between Geo-Referenced Clinical Data And Remotely Sensed Air Pollution Maps. - Arianna Dagliati; Andrea Marinoni; Carlo Cerra; Paolo Gamba; Riccardo Bellazzi (MedInfo, 2015)

Improving Clinical Decisions on T2DM Patients Integrating Clinical, Administrative and Environmental Data. - Daniele Segagni; Lucia Sacchi; Arianna Dagliati; Valentina Tibollo; Paola Leporati; Pasquale De Cata; Luca Chiovato; Riccardo Bellazzi (MedInfo, 2015)

Hierarchical Bayesian Logistic Regression to forecast metabolic control in type 2 DM patients. - Arianna Dagliati; Alberto Malovini; Pasquale De Cata; Giulia Cogni; Marsida Teliti; Lucia Sacchi; Carlo Cerra; Luca Chiovato; Riccardo Bellazzi (AMIA, 2016)

Learning T2D Evolving Complexity from EMR and Administrative Data by Means of Continuous Time Bayesian Networks. - Simone Marini; Arianna Dagliati; Lucia Sacchi; Riccardo Bellazzi (HEALTHINF, 2016)

Combining Naive Bayes Classifiers with Temporal Association Rules for Coronary Heart Disease Diagnosis. - Kalia Orphanou; Arianna Dagliati; Lucia Sacchi; Athena Stassopoulou; Elpida Keravnou; Riccardo Bellazzi (ICHI, 2016)

pMineR: An Innovative R Library for Performing Process Mining in Medicine. - Roberto Gatta; Jacopo Lenkowicz; Mauro Vallati; Eric Rojas 001; Andrea Damiani; Lucia Sacchi; Berardino De Bari; Arianna Dagliati; Carlos Fernández-Llatas; Matteo Montesi; Antonio Marchetti; Maurizio Castellano; et al. (AIME, 2017)

Generating and Comparing Knowledge Graphs of Medical Processes Using pMineR. - Roberto Gatta; Mauro Vallati; Jacopo Lenkowicz; Eric Rojas 001; Andrea Damiani; Lucia Sacchi; Berardino De Bari; Arianna Dagliati; Carlos Fernández-Llatas; Matteo Montesi; Antonio Marchetti; Maurizio Castellano; et al. (K-CAP, 2017)

Temporal electronic phenotyping by mining careflows of breast cancer patients. - Arianna Dagliati; Lucia Sacchi; Alberto Zambelli; Valentina Tibollo; L. Pavesi; John H. Holmes; Riccardo Bellazzi (J. Biomed. Informatics, 2017)

Big Data as a Driver for Clinical Decision Support Systems: A Learning Health Systems Perspective. - Arianna Dagliati; Valentina Tibollo; Lucia Sacchi; Alberto Malovini; Ivan Limongelli; Matteo Gabetta; Carlo Napolitano; Andrea Mazzanti; Pasquale De Cata; Luca Chiovato; Silvia G. Priori; Riccardo Bellazzi (Frontiers Digit. Humanit., 2018)

A dashboard-based system for supporting diabetes care. - Arianna Dagliati; Lucia Sacchi; Valentina Tibollo; Giulia Cogni; Marsida Teliti; Antonio Martinez-Millana; Vicente Traver 001; Daniele Segagni; Jorge Posada; Manuel Ottaviano; Giuseppe Fico; María Teresa Arredondo; et al. (J. Am. Medical Informatics Assoc., 2018)

Incorporating repeating temporal association rules in Naïve Bayes classifiers for coronary heart disease diagnosis. - Kalia Orphanou; Arianna Dagliati; Lucia Sacchi; Athena Stassopoulou; Elpida Keravnou; Riccardo Bellazzi (J. Biomed. Informatics, 2018)

Inferring Temporal Phenotypes with Topological Data Analysis and Pseudo Time-Series. - Arianna Dagliati; Nophar Geifman; Niels Peek; John H. Holmes; Lucia Sacchi; Seyed Erfan Sajjadi; Allan Tucker (AIME, 2019)

A Dashboard for Latent Class Trajectory Modeling: Application in Rheumatoid Arthritis. - Beatrice Amico; Arianna Dagliati; Darren Plant; Anne Barton; Niels Peek; Nophar Geifman (MedInfo, 2019)

What do healthcare professionals need to turn risk models for type 2 diabetes into usable computerized clinical decision support systems? Lessons learned from the MOSAIC project. - Giuseppe Fico; Liss Hernández; Jorge Cancela; Arianna Dagliati; Lucia Sacchi; Antonio Martinez-Millana; Jorge Posada; Lidia Manero; Jose Verdú; Andrea Facchinetti; Manuel Ottaviano; Konstantia Zarkogianni; et al. (BMC Medical Informatics Decis. Mak., 2019)

Building Trajectories Over Topology with TDA-PTS: An Application in Modelling Temporal Phenotypes of Disease. - Seyed Erfan Sajjadi; Barbara Draghi; Lucia Sacchi; Arianna Dagliati; John H. Holmes; Allan Tucker (PKDD/ECML Workshops, 2020)

Mining post-surgical care processes in breast cancer patients. - Lorenzo Chiudinelli; Arianna Dagliati; Valentina Tibollo; Sara Albasini; Nophar Geifman; Niels Peek; John H. Holmes; Fabio Corsi; Riccardo Bellazzi; Lucia Sacchi (Artif. Intell. Medicine, 2020)

Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records. - Arianna Dagliati; Nophar Geifman; Niels Peek; John H. Holmes; Lucia Sacchi; Riccardo Bellazzi; Seyed Erfan Sajjadi; Allan Tucker (Artif. Intell. Medicine, 2020)

The use of missing values in proteomic data-independent acquisition mass spectrometry to enable disease activity discrimination. - Kathryn A. McGurk; Arianna Dagliati; Davide Chiasserini; Dave Lee; Darren Plant; Ivona Baricevic-Jones; Janet Kelsall; Rachael Eineman; Rachel Reed; Bethany Geary; Richard D. Unwin; Anna Nicolaou; et al. (Bioinform., 2020)

Temporal Phenotypic Pathways of Post-Acute Sequelae of SARS-CoV-2 by an International Consortium for Clinical Characterization of COVID-19 (4CE). - Shawn N. Murphy; Hossein Estiri; Arianna Dagliati; Riccardo Bellazzi; John H. Holmes (AMIA, 2021)

Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview. - Arianna Dagliati; Alberto Malovini; Valentina Tibollo; Riccardo Bellazzi (Briefings Bioinform., 2021)

A Deductive Data-Driven Pipeline Powered by MLHO for Post-Acute Sequelae of COVID-19 (PASC) Phenotyping. - Arianna Dagliati; Zachary H. Strasser; Rebecca Mesa; Zahra Shakeri; Alaleh Azhir; Riccardo Bellazzi; Shawn N. Murphy; Hossein Estiri (AMIA, 2022)

Evaluation of XAI on ALS 6-months mortality prediction. - Tommaso Mario Buonocore; Giovanna Nicora; Arianna Dagliati; Enea Parimbelli (CLEF (Working Notes), 2022)

Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge. - 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; et al. (CLEF (Working Notes), 2022)

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022. - 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; et al. (CLEF, 2022)

Design and Optimization of REST Services for Performance and Scalability in Provision of Big Environmental Data to Exploratory Analytics of their Effects on Progression of ALS and MS. - Vladimir Urosevic; Arianna Dagliati; Manuel Ottaviano; Nikola Vojicic; Cristiana Larizza; Daniele Pala (ICCE-Berlin, 2022)

SurvMaximin: Robust federated approach to transporting survival risk prediction models. - Xuan Wang; Harrison G. Zhang; Xin Xiong; Chuan Hong; Griffin M. Weber; Gabriel A. Brat; Clara-Lea Bonzel; Yuan Luo 001; Rui Duan 004; Nathan P. Palmer; Meghan R. Hutch; Alba Gutiérrez-Sacristán; et al. (J. Biomed. Informatics, 2022)

International electronic health record-derived post-acute sequelae profiles of COVID-19 patients. - Harrison G. Zhang; Arianna Dagliati; Zahra Shakeri Hossein Abad; Xin Xiong; Clara-Lea Bonzel; Zongqi Xia; Bryce W. Q. Tan; Paul Avillach; Gabriel A. Brat; Chuan Hong; Michele Morris; Shyam Visweswaran; et al. (npj Digit. Medicine, 2022)

A Topological Data Analysis Framework for Computational Phenotyping. - Giuseppe Albi; Alessia Gerbasi; Mattia Chiesa; Gualtiero I. Colombo; Riccardo Bellazzi; Arianna Dagliati (AIME, 2023)

Predicting and Explaining Risk of Disease Worsening Using Temporal Features in Multiple Sclerosis. - Tommaso Mario Buonocore; Pietro Bosoni; Giovanna Nicora; Mahin Vazifehdan; Riccardo Bellazzi; Enea Parimbelli; Arianna Dagliati (CLEF (Working Notes), 2023)

Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. - Guglielmo Faggioli; Alessandro Guazzo; Stefano Marchesin 001; Laura Menotti; Isotta Trescato; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; et al. (CLEF (Working Notes), 2023)

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023. - Guglielmo Faggioli; Alessandro Guazzo; Stefano Marchesin 001; Laura Menotti; Isotta Trescato; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; et al. (CLEF, 2023)

iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. - Helena Aidos; Roberto Bergamaschi; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Barbara Di Camillo; Mamede de Carvalho; Nicola Ferro 001; Piero Fariselli; Jose Manuel García Dominguez; Sara C. Madeira; Eleonora Tavazzi (ECIR (3), 2023)

Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record? - Amelia L. M. Tan; Emily J. Getzen; Meghan R. Hutch; Zachary H. Strasser; Alba Gutiérrez-Sacristán; Trang T. Le; Arianna Dagliati; Michele Morris; David A. Hanauer; Bertrand Moal; Clara-Lea Bonzel; William Yuan; et al. (J. Biomed. Informatics, 2023)

BRAINTEASER ALS and MS Datasets. - Guglielmo Faggioli; Alessandro Guazzo; Stefano Marchesin 001; Laura Menotti; Isotta Trescato; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; et al. (Zenodo, 2023)

Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review. - 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; et al. (Artif. Intell. Medicine, 2023)

iDPP@CLEF 2023 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge. - Guglielmo Faggioli; Alessandro Guazzo; Stefano Marchesin 001; Laura Menotti; Isotta Trescato; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; et al. (Zenodo, 2023)

Machine Learning Models Highlight the Impact of Pollution and Weather Patterns on Relapse Occurrence in Multiple Sclerosis Patients. - Elena Marinello; Erica Tavazzi; Enrico Longato; Pietro Bosoni; Arianna Dagliati; Mahin Vazifehdan; Riccardo Bellazzi; Isotta Trescato; Alessandro Guazzo; Martina Vettoretti; Eleonora Tavazzi; Lara Ahmad; et al. (BIBM, 2024)

Land Use Regression on Interpolated Urban Graphs to Assess Personal Exposure to Air Pollution. - Daniele Pala; Giacomo Zagami; Pietro Bosoni; Mahin Vazifehdan; Riccardo Bellazzi; Arianna Dagliati (BIBM, 2024)

SynthCheck: A Dashboard for Synthetic Data Quality Assessment. - Gabriele Santangelo; Giovanna Nicora; Riccardo Bellazzi; Arianna Dagliati (BIOSTEC (2), 2024)

Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. - 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; et al. (CLEF (Working Notes), 2024)

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024. - 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; et al. (CLEF (2), 2024)

Predicting Multiple Sclerosis Relapses Using Patient Exposure Trajectories. - Pietro Bosoni; Mahin Vazifehdan; Daniele Pala; Eleonora Tavazzi; Roberto Bergamaschi; Riccardo Bellazzi; Arianna Dagliati (CLEF (Working Notes), 2024)

iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. - Helena Aidos; Roberto Bergamaschi; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Barbara Di Camillo; Mamede de Carvalho; Nicola Ferro 001; Piero Fariselli; Jose Manuel García Dominguez; Sara C. Madeira; Eleonora Tavazzi (ECIR (6), 2024)

Continuous Markov Models for Analyzing the Effect of Environmental Personal Exposure on Multiple Sclerosis Progression. - Pietro Bosoni; Eleonora Tavazzi; Riccardo Bellazzi; Roberto Bergamaschi; Arianna Dagliati (pHealth, 2024)

CAD-RADS scoring of coronary CT angiography with Multi-Axis Vision Transformer: A clinically-inspired deep learning pipeline. - Alessia Gerbasi; Arianna Dagliati; Giuseppe Albi; Mattia Chiesa; Daniele Andreini; Andrea Baggiano; Saima Mushtaq; Gianluca Pontone; Riccardo Bellazzi; Gualtiero Colombo 002 (Comput. Methods Programs Biomed., 2024)

Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis. - Lorenzo Peracchio; Giovanna Nicora; Enea Parimbelli; Tommaso Mario Buonocore; Roberto Bergamaschi; Eleonora Tavazzi; Arianna Dagliati; Riccardo Bellazzi (CoRR, 2024)

Exploring the Impact of Environmental Pollutants on Multiple Sclerosis Progression. - Elena Marinello; Erica Tavazzi; Enrico Longato; Pietro Bosoni; Arianna Dagliati; Mahin Vazifehdan; Riccardo Bellazzi; Isotta Trescato; Alessandro Guazzo; Martina Vettoretti; Eleonora Tavazzi; Lara Ahmad; et al. (CoRR, 2024)

BRAINTEASER ALS and MS Datasets. - Guglielmo Faggioli; Stefano Marchesin 001; Laura Menotti; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Pietro Bosoni; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; Giorgio Maria Di Nunzio; et al. (Zenodo, 2024)

iDPP@CLEF 2024 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge. - 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; et al. (Zenodo, 2024)

An extensible and unifying approach to retrospective clinical data modeling: the BrainTeaser Ontology. - Guglielmo Faggioli; Laura Menotti; Stefano Marchesin 001; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; Marta Gromicho; Umberto Manera; Eleonora Tavazzi; Giorgio Maria Di Nunzio; Gianmaria Silvello; Nicola Ferro 001 (J. Biomed. Semant., 2024)

Combining Clinical and Gene Expression Variables via Knowledge Graph Embedding for Prediction of Coronary Artery Stenosis. - Giuseppe Albi; Arianna Dagliati; Chiara Vavassori; Laura Pisani; Mattia Chiesa; Luca Piacentini; Saima Mushtaq; Gianluca Pontone; Riccardo Bellazzi; Gualtiero I. Colombo (AIME (1), 2025)

Domain-Adversarial Neural Networks to Explore Biases in the Diagnosis of Multiple Eye Conditions from Fundus Image Data. - Chiara Pullega; Arianna Dagliati; Allan Tucker (AIME (2), 2025)

Upper Limb Movements Simulations with Generative Diffusion Models. - Gabriele Santangelo; Chiara Alessi; Nikolas Sacchi; Giovanna Nicora; Riccardo Bellazzi; Antonella Ferrara; Arianna Dagliati (AIME (2), 2025)

Effect of Environmental Personal Exposure on Amyotrophic Lateral Sclerosis Disease Progression. - Pietro Bosoni; Irene Aiello; Umberto Manera; Marta Gromicho; Inês Alves; Barbara Di Camillo; Mamede de Carvalho; Adriano Chiò; Riccardo Bellazzi; Arianna Dagliati (ICHI, 2025)

Temporal Characterization of Glycemia Risk Index Sequences through Random Walk Bayesian Clustering. - Francesca Pescol; Pietro Bosoni; Stefania Ghilotti; Pasquale De Cata; Valentina Tibollo; Arianna Dagliati; Fulvia Ferrazzi; Lucia Sacchi; Riccardo Bellazzi (ICHI, 2025)

Exploring Usability Standards in Robotic Rehabilitation: A Meta-Analysis of System Usability Scale Scores. - Giovanna Nicora; Gabriele Santangelo; Giacomo Marzero; Arianna Dagliati; Irene Aprile; Silvana Quaglini (ICORR, 2025)

RelAI: an automated approach to judge pointwise ML prediction reliability. - Lorenzo Peracchio; Giovanna Nicora; Enea Parimbelli; Tommaso Mario Buonocore; Eleonora Tavazzi; Roberto Bergamaschi; Arianna Dagliati; Riccardo Bellazzi (Int. J. Medical Informatics, 2025)

Longitudinal Missing Data Imputation for Predicting Disability Stage of Patients with Multiple Sclerosis. - Mahin Vazifehdan; Pietro Bosoni; Daniele Pala; Eleonora Tavazzi; Roberto Bergamaschi; Riccardo Bellazzi; Arianna Dagliati (CoRR, 2025)

BRAINTEASER ALS and MS Datasets. - Guglielmo Faggioli; Stefano Marchesin 001; Laura Menotti; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Pietro Bosoni; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; Giorgio Maria Di Nunzio; et al. (Zenodo, 2025)

How good is your synthetic data? SynthRO, a dashboard to evaluate and benchmark synthetic tabular data. - Gabriele Santangelo; Giovanna Nicora; Riccardo Bellazzi; Arianna Dagliati (BMC Medical Informatics Decis. Mak., 2025)