Therapy Planning by Combining Ai and Decision Theoretic Techniques. - Silvana Quaglini; Carlo Berzuini; Riccardo Bellazzi; Mario Stefanelli; Giovanni Barosi (AIME, 1989)

Cytotoxic Chemotherapy Monitoring Using Stochastic Simulation on Graphical Models. - Riccardo Bellazzi; Carlo Berzuini; Silvana Quaglini; David J. Spiegelhalter; Mark Leaning (AIME, 1991)

A Blackboard Control Architecture for Therapy Planning. - Silvana Quaglini; Riccardo Bellazzi; Carlo Berzuini; Mario Stefanelli; Giovanni Barosi (AIME, 1991)

Bayesian Networks Applied to Therapy Monitoring. - Carlo Berzuini; David J. Spiegelhalter; Riccardo Bellazzi (UAI, 1991)

GAMEES II: an environment for building probabilistic expert systems based on arrays of Bayesian belief networks. - Riccardo Bellazzi; Silvana Quaglini; Carlo Berzuini (CBMS, 1992)

Bayesian networks for patient monitoring. - Carlo Berzuini; Riccardo Bellazzi; Silvana Quaglini; David J. Spiegelhalter (Artif. Intell. Medicine, 1992)

Reusable influence diagrams. - Riccardo Bellazzi; Silvana Quaglini (Artif. Intell. Medicine, 1994)

High Level Control Strategies for Diabetes Therapy. - Alberto Riva; Riccardo Bellazzi (AIME, 1995)

Adaptive controllers for intelligent monitoring. - Riccardo Bellazzi; Carlo Siviero; Mario Stefanelli; Giuseppe De Nicolao (Artif. Intell. Medicine, 1995)

Causal Probabilistic Networks for Dynamic Modeling. - Riccardo Bellazzi (ECAI, 1996)

Learning temporal probabilistic causal models from longitudinal data. - Alberto Riva; Riccardo Bellazzi (Artif. Intell. Medicine, 1996)

Learning from Data Through the Integration of Qualitative Models and Fuzzy Systems. - Riccardo Bellazzi; Liliana Ironi; Raffaella Guglielmann; Mario Stefanelli (AIME, 1997)

Temporal Abstractions for Diabetic Patients Management. - Cristiana Larizza; Riccardo Bellazzi; Alberto Riva (AIME, 1997)

Interpreting Longitudinal Data through Temporal Abstractions: An Application to Diabetic Patients Monitoring. - Riccardo Bellazzi; Cristiana Larizza; Alberto Riva (IDA, 1997)

Dynamic Probabilistic Networks for Modelling and Identifying Dynamic Systems: a MCMC Approach. - Riccardo Bellazzi; Paolo Magni; Giuseppe De Nicolao (Intell. Data Anal., 1997)

Mining biomedical time series by combining structural analysis and temporal abstractions. - Riccardo Bellazzi; Paolo Magni; Cristiana Larizza; Giuseppe De Nicolao; Alberto Riva; Mario Stefanelli (AMIA, 1998)

A Web-Based System for Diabetes Management: The Technical and Clinical Infrastructure. - Riccardo Bellazzi; Alberto Riva; Stefania Montani; Cristiana Larizza; Stefano Fiocchi; Giuseppe d'Annunzio; Renata Lorini; A. Monteforte; Mario Stefanelli (AMIA, 1998)

Using uncertainty management techniques in medical therapy planning: A decision-theoretic approach. - Paolo Magni; Riccardo Bellazzi; Franco Locatelli (Applications of Uncertainty Formalisms, 1998)

Retrieval in a Prototype-Based Case Library: A Case Study in Diabetes Therapy Revision. - Riccardo Bellazzi; Stefania Montani; Luigi Portinale (EWCBR, 1998)

Qualitative models and fuzzy systems: an integrated approach for learning from data. - Riccardo Bellazzi; Liliana Ironi; Raffaella Guglielmann; Mario Stefanelli (Artif. Intell. Medicine, 1998)

A development environment for knowledge-based medical applications on the world-wide web. - Alberto Riva; Riccardo Bellazzi; Giordano Lanzola; Mario Stefanelli (Artif. Intell. Medicine, 1998)

Temporal Abstractions for Interpreting Diabetic Patients Monitoring Data. - Riccardo Bellazzi; Cristiana Larizza; Alberto Riva (Intell. Data Anal., 1998)

Bayesian Function Learning Using MCMC Methods. - Paolo Magni; Riccardo Bellazzi; Giuseppe De Nicolao (IEEE Trans. Pattern Anal. Mach. Intell., 1998)

Learning Bayesian networks probabilities from longitudinal data. - Riccardo Bellazzi; Alberto Riva (IEEE Trans. Syst. Man Cybern. Part A, 1998)

Intelligent Analysis of Clinical Time Series by Combining Structural Filtering and Temporal Abstractions. - Riccardo Bellazzi; Cristiana Larizza; Paolo Magni; Stefania Montani; Giuseppe De Nicolao (AIMDM, 1999)

Multi-modal Reasoning in Diabetic Patient Management. - Stefania Montani; Riccardo Bellazzi; Luigi Portinale; Alberto Riva; Mario Stefanelli (AIMDM, 1999)

Integrating case based and rule based reasoning in a decision support system: evaluation with simulated patients. - Stefania Montani; Riccardo Bellazzi (AMIA, 1999)

Integrating Rule-Based and Case-Based Decision Making in Diabetic Patient Management. - Riccardo Bellazzi; Stefania Montani; Luigi Portinale; Alberto Riva (ICCBR, 1999)

A Qualitative-Fuzzy Framework for Nonlinear Black-Box System Identification. - Riccardo Bellazzi; Raffaella Guglielmann; Liliana Ironi (IJCAI, 1999)

Application Report: Preliminary Evaluation of the T-IDDM Project in Pavia. - Riccardo Bellazzi; Alberto Riva; Stefania Montani; Cristiana Larizza; M. Bestazza; Stefano Fiocchi; Giuseppe d'Annunzio; Renata Lorini; Mario Stefanelli (MIE, 1999)

Supporting decisions in diabetic patients management through Case-Based retrieval. - Stefania Montani; Riccardo Bellazzi; Luigi Portinale; Stefano Fiocchi; Giuseppe d'Annunzio; Mario Stefanelli (MIE, 1999)

Protocol-based reasoning in diabetic patient management. - Stefania Montani; Riccardo Bellazzi; Cristiana Larizza; Alberto Riva; Giuseppe d'Annunzio; Stefano Fiocchi; Renata Lorini; Mario Stefanelli (Int. J. Medical Informatics, 1999)

Exploiting multi-modal reasoning for knowledge management and decision support: an evaluation study. - Stefania Montani; Riccardo Bellazzi (AMIA, 2000)

Artificial Intelligence Techniques for Diabetes Management: the T-IDDM Project. - Stefania Montani; Riccardo Bellazzi; Alberto Riva; Cristiana Larizza; Luigi Portinale; Mario Stefanelli (ECAI, 2000)

Evaluating a Multi-modal Reasoning System in Diabetes Care. - Stefania Montani; Riccardo Bellazzi; Luigi Portinale; Mario Stefanelli (EWCBR, 2000)

Intelligent analysis of clinical time series: an application in the diabetes mellitus domain. - Riccardo Bellazzi; Cristiana Larizza; Paolo Magni; Stefania Montani; Mario Stefanelli (Artif. Intell. Medicine, 2000)

Diabetic patients management exploiting case-based reasoning techniques. - Stefania Montani; Riccardo Bellazzi; Luigi Portinale; Giuseppe d'Annunzio; Stefano Fiocchi; Mario Stefanelli (Comput. Methods Programs Biomed., 2000)

A multi-modal reasoning methodology for managing IDDM patients. - Stefania Montani; Riccardo Bellazzi; Luigi Portinale; Mario Stefanelli (Int. J. Medical Informatics, 2000)

Bayesian analysis of blood glucose time series from diabetes home monitoring. - Riccardo Bellazzi; Paolo Magni; Giuseppe De Nicolao (IEEE Trans. Biomed. Eng., 2000)

How to improve fuzzy-neural system modeling by means of qualitative simulation. - Riccardo Bellazzi; Raffaella Guglielmann; Liliana Ironi (IEEE Trans. Neural Networks Learn. Syst., 2000)

Mining Data from a Knowledge Management Perspective: An Application to Outcome Prediction in Patients with Resectable Hepatocellular Carcinoma. - Riccardo Bellazzi; Ivano Azzini; Gianna Toffolo; Stefano Bacchetti; Mario Lise (AIME, 2001)

Integrating Different Methodologies for Insulin Therapy Support in Type 1 Diabetic Patients. - Stefania Montani; Paolo Magni; Abdul V. Roudsari; Ewart R. Carson; Riccardo Bellazzi (AIME, 2001)

Supervised Implementation of Guidelines for Diabetes Management on the World Wide Web. - Riccardo Bellazzi; Stefania Montani; M. Arcelloni; Pasquale De Cata; Carmine Gazzaruso; R. Giacchero; Pietro Fratino (AMIA, 2001)

A Sixth International Workshop on Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP-2001). - Riccardo Bellazzi; Blaz Zupan (MedInfo, 2001)

Improving Dialysis Services through Information Technology: From Telemedicine to Data Mining. - Riccardo Bellazzi; Paolo Magni; Roberto Bellazzi (MedInfo, 2001)

Intelligent Knowledge Retrieval for Decision Support in Medical Applications. - Stefania Montani; Riccardo Bellazzi (MedInfo, 2001)

Learning from biomedical time series through the integration of qualitative models and fuzzy systems. - Riccardo Bellazzi; Raffaella Guglielmann; Liliana Ironi (Artif. Intell. Medicine, 2001)

Web-based telemedicine systems for home-care: technical issues and experiences. - Riccardo Bellazzi; Stefania Montani; Alberto Riva; Mario Stefanelli (Comput. Methods Programs Biomed., 2001)

Cased-Based Reasoning for medical knowledge-based systems. - Rainer Schmidt 002; Stefania Montani; Riccardo Bellazzi; Luigi Portinale; Lothar Gierl (Int. J. Medical Informatics, 2001)

A Hybrid Input-Output Approach to Model Metabolic Systems: An Application to Intracellular Thiamine Kinetics. - Riccardo Bellazzi; Raffaella Guglielmann; Liliana Ironi; Cesare Patrini (J. Biomed. Informatics, 2001)

Multi-access Services for the Management of Diabetes Mellitus: The M2DM Project. - Riccardo Bellazzi; Giuliana Bensa; Eulalia Brugués; Ewart R. Carson; Claudio Cobelli; Derek G. Cramp; Giuseppe d'Annunzio; Pasquale De Cata; Alberto de Leiva; Tibor Deutsch; Pietro Fratino; Carmine Gazzaruso; et al. (AMIA, 2002)

A telemedicine support for diabetes management: the T-IDDM project. - Riccardo Bellazzi; Cristiana Larizza; Stefania Montani; Alberto Riva; Mario Stefanelli; Giuseppe d'Annunzio; Renata Lorini; Enrique J. Gómez; M. Elena Hernando; Eulalia Brugués (Comput. Methods Programs Biomed., 2002)

Supporting decisions in medical applications: the knowledge management perspective. - Stefania Montani; Riccardo Bellazzi (Int. J. Medical Informatics, 2002)

Quality Assessment of Hemodialysis Services through Temporal Data Mining. - Riccardo Bellazzi; Cristiana Larizza; Paolo Magni; Roberto Bellazzi (AIME, 2003)

Integrating model-based decision support in a multi-modal reasoning system for managing type 1 diabetic patients. - Stefania Montani; Paolo Magni; Riccardo Bellazzi; Cristiana Larizza; Abdul V. Roudsari; Ewart R. Carson (Artif. Intell. Medicine, 2003)

RHENE: A Case Retrieval System for Hemodialysis Cases with Dynamically Monitored Parameters. - Stefania Montani; Luigi Portinale; Riccardo Bellazzi; Giorgio Leonardi (ECCBR, 2004)

A careflow management system for chronic patients. - Silvia Panzarasa; Riccardo Bellazzi; Cristiana Larizza; Mario Stefanelli (MedInfo, 2004)

Clustering gene expression data with Temporal Abstractions. - Lucia Sacchi; Riccardo Bellazzi; Cristiana Larizza; Paolo Magni; Tomaz Curk; Uros Petrovic; Blaz Zupan (MedInfo, 2004)

An Adaptive Decision Support System for Risk Management in Haemodialysis Departments. - Chiara Cornalba; Riccardo Bellazzi; Silvana Quaglini; Roberto G. Bellazzi; Mario Stefanelli (AAAI Spring Symposium: Challenges to Decision Support in a Changing World, 2005)

User-Adapted Clinical Decision Support Systems. - Andrea Sboner; Riccardo Bellazzi; Paolo Carli; Mario Cristofolini (AAAI Spring Symposium: Challenges to Decision Support in a Changing World, 2005)

Learning Rules with Complex Temporal Patterns in Biomedical Domains. - Lucia Sacchi; Riccardo Bellazzi; Cristiana Larizza; Riccardo Porreca; Paolo Magni (AIME, 2005)

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)

Precedence Temporal Networks from Gene Expression Data. - Lucia Sacchi; Riccardo Bellazzi; Riccardo Porreca; Cristiana Larizza; Paolo Magni (CBMS, 2005)

Temporal data mining for the quality assessment of hemodialysis services. - Riccardo Bellazzi; Cristiana Larizza; Paolo Magni; Roberto Bellazzi (Artif. Intell. Medicine, 2005)

Case Retrieval with Time Series Features. - Stefania Montani; Luigi Portinale; Riccardo Bellazzi; Giorgio Leonardi (Intelligenza Artificiale, 2005)

TA-clustering: Cluster analysis of gene expression profiles through Temporal Abstractions. - Lucia Sacchi; Riccardo Bellazzi; Cristiana Larizza; Paolo Magni; Tomaz Curk; Uros Petrovic; Blaz Zupan (Int. J. Medical Informatics, 2005)

A New Approach for the Analysis of Mass Spectrometry Data for Biomarker Discovery. - Nicola Barbarini; Paolo Magni; Riccardo Bellazzi (AMIA, 2006)

Dynamic Bayesian Networks in Modelling Cellular Systems: a Critical Appraisal on Simulated Data. - Fulvia Ferrazzi; Paola Sebastiani; Isaac S. Kohane; Marco Ramoni; Riccardo Bellazzi (CBMS, 2006)

Inferring gene expression networks via static and dynamic data integration. - Fulvia Ferrazzi; Paolo Magni; Lucia Sacchi; Riccardo Bellazzi (MIE, 2006)

Case-based retrieval to support the treatment of end stage renal failure patients. - Stefania Montani; Luigi Portinale; Giorgio Leonardi; Riccardo Bellazzi; Roberto Bellazzi (Artif. Intell. Medicine, 2006)

Knowledge-based data analysis and interpretation. - Blaz Zupan; John H. Holmes; Riccardo Bellazzi (Artif. Intell. Medicine, 2006)

A hierarchical Naïve Bayes Model for handling sample heterogeneity in classification problems: an application to tissue microarrays. - Francesca Demichelis; Paolo Magni; Paolo Piergiorgi; Mark A. Rubin; Riccardo Bellazzi (BMC Bioinform., 2006)

A proposed semantic framework for diabetes education content management, customisation and delivery within the M2DM project. - Maged N. Kamel Boulos; Fiona E. Harvey; Abdul V. Roudsari; Riccardo Bellazzi; M. Elena Hernando; Tibor Deutsch; Derek G. Cramp; Ewart R. Carson (Comput. Methods Programs Biomed., 2006)

A stochastic model to assess the variability of blood glucose time series in diabetic patients self-monitoring. - Paolo Magni; Riccardo Bellazzi (IEEE Trans. Biomed. Eng., 2006)

Automatic Pedigree Reconstruction for Genetic Studies in Isolated Populations. - Cristiana Larizza; Iwan Buetti; Giuseppe Milani; Angelo Nuzzo; Cinzia Sala; Daniela Toniolo; Riccardo Bellazzi (MedInfo, 2007)

A Dynamic Query System for Supporting Phenotype Mining in Genetic Studies. - Angelo Nuzzo; Daniele Segagni; Giuseppe Milani; Carla Rognoni; Riccardo Bellazzi (MedInfo, 2007)

Temporal abstraction for feature extraction: A comparative case study in prediction from intensive care monitoring data. - Marion Verduijn; Lucia Sacchi; Niels Peek; Riccardo Bellazzi; Evert de Jonge; Bas A. de Mol (Artif. Intell. Medicine, 2007)

A procedure to decompose high resolution mass spectra. - Nicola Barbarini; Paolo Magni; Riccardo Bellazzi (BMC Bioinform., 2007)

Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks. - Fulvia Ferrazzi; Paola Sebastiani; Marco Ramoni; Riccardo Bellazzi (BMC Bioinform., 2007)

Data mining with Temporal Abstractions: learning rules from time series. - Lucia Sacchi; Cristiana Larizza; Carlo Combi; Riccardo Bellazzi (Data Min. Knowl. Discov., 2007)

Inferring gene regulatory networks by integrating static and dynamic data. - Fulvia Ferrazzi; Paolo Magni; Lucia Sacchi; Angelo Nuzzo; Uros Petrovic; Riccardo Bellazzi (Int. J. Medical Informatics, 2007)

Towards knowledge-based gene expression data mining. - Riccardo Bellazzi; Blaz Zupan (J. Biomed. Informatics, 2007)

Precedence Temporal Networks to represent temporal relationships in gene expression data. - Lucia Sacchi; Cristiana Larizza; Paolo Magni; Riccardo Bellazzi (J. Biomed. Informatics, 2007)

Assessing the Quality of Care for End Stage Renal Failure Patients by Means of Artificial Intelligence Methodologies. - Stefania Montani; Luigi Portinale; Riccardo Bellazzi; Cristiana Larizza; Roberto Bellazzi (Advanced Computational Intelligence Paradigms in Healthcare (1), 2007)

Analysis and Visualization of Spatial Proteomic Data for Tissue Characterization. - Christian Fuchsberger; Heidi Hübl; Georg Schäfer; Alexandre Pelzer; Georg Bartsch; Helmut Klocker; Nicola Barbarini; Riccardo Bellazzi; Wolfgang Wieder; Günther Bonn (CBMS, 2008)

TimeClust: a clustering tool for gene expression time series. - Paolo Magni; Fulvia Ferrazzi; Lucia Sacchi; Riccardo Bellazzi (Bioinform., 2008)

Predictive data mining in clinical medicine: Current issues and guidelines. - Riccardo Bellazzi; Blaz Zupan (Int. J. Medical Informatics, 2008)

Building a Normative Decision Support System for Clinical and Operational Risk Management in Hemodialysis. - Chiara Cornalba; Roberto G. Bellazzi; Riccardo Bellazzi (IEEE Trans. Inf. Technol. Biomed., 2008)

Temporal Data Mining of HIV Registries: Results from a 25 Years Follow-Up. - Paloma Chausa; César Cáceres; Lucia Sacchi; Agathe León; Felipe García; Riccardo Bellazzi; Enrique J. Gómez (AIME, 2009)

Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment for a Practical Use. - Stefano Concaro; Lucia Sacchi; Carlo Cerra; Pietro Fratino; Riccardo Bellazzi (AIME, 2009)

On Quality of Different Annotation Sources for Gene Expression Analysis. - Francesca Mulas; Tomaz Curk; Riccardo Bellazzi; Blaz Zupan (AIME, 2009)

An Architecture for Automated Reasoning Systems for Genome-Wide Studies. - Angelo Nuzzo; Alberto Riva; Mario Stefanelli; Riccardo Bellazzi (AIME, 2009)

A Temporal Abstraction Framework for Classifying Clinical Temporal Data. - Iyad Batal; Lucia Sacchi; Riccardo Bellazzi; Milos Hauskrecht (AMIA, 2009)

Temporal Data Mining for the Assessment of the Costs Related to Diabetes Mellitus Pharmacological Treatment. - Stefano Concaro; Lucia Sacchi; Carlo Cerra; Mario Stefanelli; Pietro Fratino; Riccardo Bellazzi (AMIA, 2009)

Multivariate Time Series Classification with Temporal Abstractions. - Iyad Batal; Lucia Sacchi; Riccardo Bellazzi; Milos Hauskrecht (FLAIRS, 2009)

A Methodology for the Extraction of Quantitative Risk Indexes from Medical Injuries Compensation Claims. - Simona Dalle Carbonare; Fulvia Folli; Emanuele Patrini; Riccardo Bellazzi (MIE, 2009)

Mining Administrative and Clinical Diabetes Data with Temporal Association Rules. - Stefano Concaro; Lucia Sacchi; Carlo Cerra; Riccardo Bellazzi (MIE, 2009)

Artificial intelligence in medicine AIME'07. - Riccardo Bellazzi; Ameen Abu-Hanna (Artif. Intell. Medicine, 2009)

The coming of age of artificial intelligence in medicine. - Vimla L. Patel; Edward H. Shortliffe; Mario Stefanelli; Peter Szolovits; Michael R. Berthold; Riccardo Bellazzi; Ameen Abu-Hanna (Artif. Intell. Medicine, 2009)

Phenotype forecasting with SNPs data through gene-based Bayesian networks. - Alberto Malovini; Angelo Nuzzo; Fulvia Ferrazzi; Annibale A. Puca; Riccardo Bellazzi (BMC Bioinform., 2009)

Phenotypic and genotypic data integration and exploration through a web-service architecture. - Angelo Nuzzo; Alberto Riva; Riccardo Bellazzi (BMC Bioinform., 2009)

Translational Bioinformatics: Challenges and Opportunities for Case-Based Reasoning and Decision Support. - Riccardo Bellazzi; Cristiana Larizza; Matteo Gabetta; Giuseppe Milani; Angelo Nuzzo; Valentina Favalli; Eloisa Arbustini (ICCBR, 2010)

Text Mining approaches for Automated Literature Knowledge Extraction and Representation. - Angelo Nuzzo; Francesca Mulas; Matteo Gabetta; Eloisa Arbustini; Blaz Zupan; Cristiana Larizza; Riccardo Bellazzi (MedInfo, 2010)

Temporal Clustering for Blood Glucose Analysis in the ICU: Identification of Groups of Patients with Different Risk Profile. - Lucia Sacchi; Giuseppe D'Ancona; Federico Bertuzzi; Riccardo Bellazzi (MedInfo, 2010)

Professor Mario Stefanelli (1945-2010). - Vimla L. Patel; Riccardo Bellazzi; Silvana Quaglini (J. Biomed. Informatics, 2010)

An automated reasoning framework for translational research. - Alberto Riva; Angelo Nuzzo; Mario Stefanelli; Riccardo Bellazzi (J. Biomed. Informatics, 2010)

A Data Mining Library for miRNA Annotation and Analysis. - Angelo Nuzzo; Riccardo Beretta; Francesca Mulas; Valerie Roobrouck; Catherine M. Verfaillie; Blaz Zupan; Riccardo Bellazzi (AIME, 2011)

Ranking and 1-Dimensional Projection of Cell Development Transcription Profiles. - Lan Zagar; Francesca Mulas; Riccardo Bellazzi; Blaz Zupan (AIME, 2011)

Information Technology Solutions to Support Translational Research on Inherited Cardiomyopathies. - Riccardo Bellazzi; Cristiana Larizza; Matteo Gabetta; Giuseppe Milani; Mauro Bucalo; Francesca Mulas; Angelo Nuzzo; Valentina Favalli; Eloisa Arbustini (MIE, 2011)

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)

Mario Stefanelli, 1945-2010. - Riccardo Bellazzi; Carlo Combi; Silvana Quaglini (Artif. Intell. Medicine, 2011)

Stage prediction of embryonic stem cell differentiation from genome-wide expression data. - Lan Zagar; Francesca Mulas; Silvia Garagna; Maurizio Zuccotti; Riccardo Bellazzi; Blaz Zupan (Bioinform., 2011)

R Engine Cell: integrating R into the i2b2 software infrastructure. - Daniele Segagni; Fulvia Ferrazzi; Cristiana Larizza; Valentina Tibollo; Carlo Napolitano; Silvia G. Priori; Riccardo Bellazzi (J. Am. Medical Informatics Assoc., 2011)

Inferring cell cycle feedback regulation from gene expression data. - Fulvia Ferrazzi; Felix B. Engel; Erxi Wu; Annie P. Moseman; Isaac S. Kohane; Riccardo Bellazzi; Marco Ramoni (J. Biomed. Informatics, 2011)

Computer-based genealogy reconstruction in founder populations. - Giuseppe Milani; Corrado Masciullo; Cinzia Sala; Riccardo Bellazzi; Iwan Buetti; Giorgio Pistis; Michela Traglia; Daniela Toniolo; Cristiana Larizza (J. Biomed. Informatics, 2011)

Corrigendum to "In Memoriam: 'Professor Mario Stefanelli (1945-2010)'" [J Biomed Inform (2010) 859-60]. - Vimla L. Patel; Riccardo Bellazzi; Silvana Quaglini (J. Biomed. Informatics, 2011)

Predictive data mining in clinical medicine: a focus on selected methods and applications. - Riccardo Bellazzi; Fulvia Ferrazzi; Lucia Sacchi (WIREs Data Mining Knowl. Discov., 2011)

Report From European Summit On Trustworthy Reuse Of Health Data. - Charles Safran; Antoine Geissbühler; Riccardo Bellazzi; Iain E. Buchan; Steven E. Labkoff (AMIA, 2012)

ONCO-i2b2: Improve Patients Selection through Case-Based Information Retrieval Techniques. - Daniele Segagni; Matteo Gabetta; Valentina Tibollo; Alberto Zambelli; Silvia G. Priori; Riccardo Bellazzi (DILS, 2012)

Development and Representation of Health Indicators with Thematic Maps. - Simona Dalle Carbonare; Carlo Cerra; Riccardo Bellazzi (MIE, 2012)

Clinical Bioinformatics: challenges and opportunities. - Riccardo Bellazzi; Marco Masseroli; Shawn N. Murphy; Amnon Shabo; Paolo Romano 001 (BMC Bioinform., 2012)

Hierarchical Naive Bayes for genetic association studies. - Alberto Malovini; Nicola Barbarini; Riccardo Bellazzi; Francesca De Michelis (BMC Bioinform., 2012)

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)

Implementation of an automated system for monitoring adherence to hemodialysis treatment: A report of seven years of experience. - Riccardo Bellazzi; Lucia Sacchi; Ezio Caffi; Amedeo de Vincenzi; Maurizio Nai; Francesco Manicone; Cristiana Larizza; Roberto Bellazzi (Int. J. Medical Informatics, 2012)

Stochastic model search with binary outcomes for genome-wide association studies. - Alberto Russu; Alberto Malovini; Annibale A. Puca; Riccardo Bellazzi (J. Am. Medical Informatics Assoc., 2012)

Knowledge-Based Identification of Multicomponent Therapies. - Francesca Vitali; Francesca Mulas; Pietro Marini; Riccardo Bellazzi (AIME, 2013)

Biomedical and Healthcare Analytics on Big Data. - Niels Peek; Jimeng Sun 001; John H. Holmes; Fernando Martín-Sánchez; Riccardo Bellazzi (AMIA, 2013)

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

Interest Propagation for Knowledge Extraction and Representation. - Francesca Mulas; Elisa Del Fabbro; Blaz Zupan; Riccardo Bellazzi (EFMI-STC, 2013)

INDIV-3D. A new model for INdividual Data Integration and Visualisation using spatial coordinates. - Guillermo López-Campos; Riccardo Bellazzi; Fernando Martín-Sánchez (ICIMTH, 2013)

The IMIA initiatives on Trustworthy Reuse of Health Data: A Report. - Riccardo Bellazzi; Iain E. Buchan; Steven E. Labkoff; Antoine Geissbühler; Charles Safran (MedInfo, 2013)

A Unified Medical Language System (UMLS) Based System for Literature-Based Discovery in Medicine. - Matteo Gabetta; Cristiana Larizza; Riccardo Bellazzi (MedInfo, 2013)

Bayesian Networks Aplied to Therapy Monitoring - Carlo Berzuini; David J. Spiegelhalter; Riccardo Bellazzi (CoRR, 2013)

Temporal Reasoning with Probabilities - Carlo Berzuini; Riccardo Bellazzi; Silvana Quaglini (CoRR, 2013)

Trustworthy reuse of health data: A transnational perspective. - Antoine Geissbühler; Charles Safran; Iain E. Buchan; Riccardo Bellazzi; Steven E. Labkoff; K. Eilenberg; A. Leese; C. Richardson; J. Mantas; Peter Murray; Georges De Moor (Int. J. Medical Informatics, 2013)

Network-based target ranking for polypharmacological therapies. - Francesca Vitali; Francesca Mulas; Pietro Marini; Riccardo Bellazzi (J. Biomed. Informatics, 2013)

Use of Patient Generated Data from Social Media and Collaborative Filtering for Preferences Elicitation in Shared Decision Making. - Enea Parimbelli; Silvana Quaglini; Carlo Napolitano; Silvia G. Priori; Riccardo Bellazzi; John H. Holmes (AAAI Fall Symposia, 2014)

Handling Clinical and Next Generation Sequencing data: new strategies in i2b2 and tranSMART. - Shawn N. Murphy; Riccardo Bellazzi; Matteo Gabetta; Paul Avillach; Lori C. Phillips (AMIA, 2014)

The Colibri project: A multicenter shared database of magnetic resonance images about rare neurological diseases. - Cristina Altomare; Giordano Lanzola; Riccardo Bellazzi; Gianluigi Reni (BHI, 2014)

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)

Multivariate analysis based on linear and non-linear FHR parameters for the identification of IUGR fetuses. - Giovanni Magenes; Riccardo Bellazzi; Andrea Fanelli; Maria Gabriella Signorini (EMBC, 2014)

Kimimila: A New Model to Classify NGS Short Reads by Their Allele Origin. - Andrea Marinoni; Ettore Rizzo; Paolo Gamba; Riccardo Bellazzi; Ivan Limongelli (ICHI, 2014)

Exposome informatics: considerations for the design of future biomedical research information systems. - Fernando Martín-Sánchez; Kathleen Gray; Riccardo Bellazzi; Guillermo López-Campos (J. Am. Medical Informatics Assoc., 2014)

Comparison of Probabilistic versus Non-probabilistic Electronic Nose Classification Methods in an Animal Model. - Camilla Colombo; Jan Hendrik Leopold; Lieuwe D. J. Bos; Riccardo Bellazzi; Ameen Abu-Hanna (AIME, 2015)

Running Genome Wide Data Analysis Using a Parallel Approach on a Cloud Platform. - Andrea Demartini; Davide Capozzi; Alberto Malovini; Riccardo Bellazzi (AIME, 2015)

A Genomic Data Fusion Framework to Exploit Rare and Common Variants for Association Discovery. - Simone Marini; Ivan Limongelli; Ettore Rizzo; Tan Da; Riccardo Bellazzi (AIME, 2015)

Collaborative Filtering for Estimating Health Related Utilities in Decision Support Systems. - Enea Parimbelli; Silvana Quaglini; Riccardo Bellazzi; John H. Holmes (AIME, 2015)

Exposome, Health and Biomedical Informatics - An Emerging Discipline and Its Interaction with Current Biomedical Informatics. - Guillermo López-Campos; Riccardo Bellazzi; Fernando Martín-Sánchez (HEALTHINF, 2015)

A collaborative environment for shared classification of neuroimages: The experience of the Colibri project. - Anna Alloni; Giordano Lanzola; Fabio Maria Triulzi; Riccardo Bellazzi; Gianluigi Reni (EMBC, 2015)

From data to the decision: A software architecture to integrate predictive modelling in clinical settings. - Antonio Martinez-Millana; Carlos Fernández-Llatas; Lucia Sacchi; Daniele Segagni; Sergio Guillén; Riccardo Bellazzi; Vicente Traver 001 (EMBC, 2015)

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)

Thirty years of artificial intelligence in medicine (AIME) conferences: A review of research themes. - Niels Peek; Carlo Combi; Roque Marín; Riccardo Bellazzi (Artif. Intell. Medicine, 2015)

BigQ: a NoSQL based framework to handle genomic variants in i2b2. - Matteo Gabetta; Ivan Limongelli; Ettore Rizzo; Alberto Riva; Daniele Segagni; Riccardo Bellazzi (BMC Bioinform., 2015)

PaPI: pseudo amino acid composition to score human protein-coding variants. - Ivan Limongelli; Simone Marini; Riccardo Bellazzi (BMC Bioinform., 2015)

JTSA: An open source framework for time series abstractions. - Lucia Sacchi; Davide Capozzi; Riccardo Bellazzi; Cristiana Larizza (Comput. Methods Programs Biomed., 2015)

Optimal marker placement in hadrontherapy: Intelligent optimization strategies with augmented Lagrangian pattern search. - Cristina Altomare; Raffaella Guglielmann; Marco Riboldi; Riccardo Bellazzi; Guido Baroni (J. Biomed. Informatics, 2015)

A Dynamic Bayesian Network model for long-term simulation of clinical complications in type 1 diabetes. - Simone Marini; Emanuele Trifoglio; Nicola Barbarini; Francesco Sambo; Barbara Di Camillo; Alberto Malovini; Marco Manfrini; Claudio Cobelli; Riccardo Bellazzi (J. Biomed. Informatics, 2015)

A kinetic model-based algorithm to classify NGS short reads by their allele origin. - Andrea Marinoni; Ettore Rizzo; Ivan Limongelli; Paolo Gamba; Riccardo Bellazzi (J. Biomed. Informatics, 2015)

Designing an artificial pancreas architecture: the AP@home experience. - Giordano Lanzola; Chiara Toffanin; Federico Di Palma; Simone Del Favero; Lalo Magni; Riccardo Bellazzi (Medical Biol. Eng. Comput., 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)

Information Extraction from Italian medical reports: first steps towards clinical timelines development. - Natalia Viani; Valentina Tibollo; Carlo Napolitano; Silvia G. Priori; Riccardo Bellazzi; Cristiana Larizza; Lucia Sacchi (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 Unsupervised and Supervised Learning for Discovering Disease Subclasses. - Pietro Bosoni; Allan Tucker; Riccardo Bellazzi; Svetlana I. Nihtyanova; Christopher P. Denton (CBMS, 2016)

Out-of-Home Activity Recognition from GPS Data in Schizophrenic Patients. - Sonia Difrancesco; Paolo Fraccaro; Sabine van der Veer; Bader Alshoumr; John D. Ainsworth; Riccardo Bellazzi; Niels Peek (CBMS, 2016)

Comparison of data mining techniques applied to fetal heart rate parameters for the early identification of IUGR fetuses. - Giovanni Magenes; Riccardo Bellazzi; Alberto Malovini; Maria G. Signorini (EMBC, 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)

Beyond Cohort Selection: An Analytics-Enabled i2b2. - Matteo Gabetta; Alberto Malovini; Mauro Bucalo; Elisa Zini; Valentina Tibollo; Silvia G. Priori; Simone Vettoretti; Cristiana Larizza; Riccardo Bellazzi; Nicola Barbarini (MIE, 2016)

A computational method for designing diverse linear epitopes including citrullinated peptides with desired binding affinities to intravenous immunoglobulin. - Rob Patro; Raquel Norel; Robert J. Prill; Julio Saez-Rodriguez; Peter Lorenz; Felix Steinbeck; Bjoern Ziems; Mitja Lustrek; Nicola Barbarini; Alessandra Tiengo; Riccardo Bellazzi; Hans-Jürgen Thiesen; et al. (BMC Bioinform., 2016)

Guest Editorial IEEE EMBC 2015. - Elsa D. Angelini; Riccardo Bellazzi; Walter G. Besio; Marius George Linguraru (IEEE J. Biomed. Health Informatics, 2016)

Data Fusion Approach for Learning Transcriptional Bayesian Networks. - Elisabetta Sauta; Andrea Demartini; Francesca Vitali; Alberto Riva; Riccardo Bellazzi (AIME, 2017)

Recurrent Neural Network Architectures for Event Extraction from Italian Medical Reports. - Natalia Viani; Timothy A. Miller; Dmitriy Dligach; Steven Bethard; Carlo Napolitano; Silvia G. Priori; Riccardo Bellazzi; Lucia Sacchi; Guergana K. Savova (AIME, 2017)

Predicting Comorbidities Using Resampling and Dynamic Bayesian Networks with Latent Variables. - Leila Yousefi; Lucia Sacchi; Riccardo Bellazzi; Luca Chiovato; Allan Tucker (CBMS, 2017)

Clinical timelines development from textual medical reports in Italian. - Natalia Viani; Lucia Sacchi; Valentina Tibollo; Carlo Napolitano; Silvia G. Priori; Riccardo Bellazzi (RTSI, 2017)

Artificial Intelligence in Medicine AIME 2015. - John H. Holmes; Lucia Sacchi; Riccardo Bellazzi; Niels Peek (Artif. Intell. Medicine, 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)

Procedure to integrate i2b2 and REDCap: a case study at ICSM. - Valentina Tibollo; Mauro Bucalo; Danila Vella; Morena Stuppia; Nicola Barbarini; Riccardo Bellazzi (PeerJ Prepr., 2017)

MTopGO: a tool for module identification in PPI Networks. - Danila Vella; Simone Marini; Francesca Vitali; Riccardo Bellazzi (PeerJ Prepr., 2017)

Stability analysis of MTopGO for module identification in PPI networks. - Danila Vella; Allan Tucker; Riccardo Bellazzi (PeerJ Prepr., 2017)

Integrating Environmental Data, Citizen Science and Personalized Predictive Modeling to Support Public Health in Cities: The PULSE WebGIS. - Enea Parimbelli; Daniele Pala; Riccardo Bellazzi; Cecilia Vera-Mñnoz; Vittorio Casella (AAAI Workshops, 2018)

Predicting Disease Complications Using a Stepwise Hidden Variable Approach for Learning Dynamic Bayesian Networks. - Leila Yousefi; Allan Tucker; Mashael Al-Luhaybi; Lucia Sacchi; Riccardo Bellazzi; Luca Chiovato (CBMS, 2018)

AID-GM: An Advanced System Supporting Continuous Monitoring of T1DM Patients. - Elisa Salvi; Lucia Sacchi; Alexandra Madè; Valeria Calcaterra; Riccardo Bellazzi; Cristiana Larizza (MIE, 2018)

Automatic Processing of Anatomic Pathology Reports in the Italian Language to Enhance the Reuse of Clinical Data. - Natalia Viani; Lorenzo Chiudinelli; Cristina Tasca; Alberto Zambelli; Mauro Bucalo; Arianna Ghirardi; Nicola Barbarini; Eleonora Sfreddo; Lucia Sacchi; Carlo Tondini; Riccardo Bellazzi (MIE, 2018)

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)

Trusting telemedicine: A discussion on risks, safety, legal implications and liability of involved stakeholders. - Enea Parimbelli; B. Bottalico; Eleonora Losiouk; M. Tomasi; Amedeo Santosuosso; Giordano Lanzola; Silvana Quaglini; Riccardo Bellazzi (Int. J. Medical Informatics, 2018)

Information extraction from Italian medical reports: An ontology-driven approach. - Natalia Viani; Cristiana Larizza; Valentina Tibollo; Carlo Napolitano; Silvia G. Priori; Riccardo Bellazzi; Lucia Sacchi (Int. J. Medical Informatics, 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)

Patient similarity for precision medicine: A systematic review. - Enea Parimbelli; Simone Marini; Lucia Sacchi; Riccardo Bellazzi (J. Biomed. Informatics, 2018)

Nearest Consensus Clustering Classification to Identify Subclasses and Predict Disease. - Awad Alsaid Alyousef; Svetlana I. Nihtyanova; Christopher P. Denton; Pietro Bosoni; Riccardo Bellazzi; Allan Tucker (J. Heal. Informatics Res., 2018)

A Rule-Based Expert System for Automatic Implementation of Somatic Variant Clinical Interpretation Guidelines. - Giovanna Nicora; Ivan Limongelli; Riccardo Cova; Matteo Giovanni Della Porta; Luca Malcovati; Mario Cazzola; Riccardo Bellazzi (AIME, 2019)

A Semi-supervised Learning Approach for Pan-Cancer Somatic Genomic Variant Classification. - Giovanna Nicora; Simone Marini; Ivan Limongelli; Ettore Rizzo; Stefano Montoli; Francesca Floriana Tricomi; Riccardo Bellazzi (AIME, 2019)

Agent-Based Models and Spatial Enablement: A Simulation Tool to Improve Health and Wellbeing in Big Cities. - Daniele Pala; John H. Holmes; José Pagán; Enea Parimbelli; Marica Teresa Rocca; Vittorio Casella; Riccardo Bellazzi (AIME, 2019)

Latent Class Multi-Label Classification to Identify Subclasses of Disease for Improved Prediction. - Awad Alsaid Alyousef; Svetlana I. Nihtyanova; Christopher P. Denton; Pietro Bosoni; Riccardo Bellazzi; Allan Tucker (CBMS, 2019)

An Extension of the i2b2 Data Warehouse to Support REDCap Dynamic Data Pull. - Matteo Gabetta; Marco Mirabelli; Catherine Klersy; Valeria Musella; Gianpiero Rizzo; Paolo Pedrazzoli; Nicola Barbarini; Riccardo Bellazzi; Cristiana Larizza (EFMI-STC, 2019)

Clustering Cardiovascular Risk Trajectories of Patients with Type 2 Diabetes Using Process Mining. - Joyce Pebesma; Antonio Martinez-Millana; Lucia Sacchi; Carlos Fernández-Llatas; Pasquale De Cata; Luca Chiovato; Riccardo Bellazzi; Vicente Traver 001 (EMBC, 2019)

Transfer Learning for Urban Landscape Clustering and Correlation with Health Indexes. - Riccardo Bellazzi; Alessandro Aldo Caldarone; Daniele Pala; Marica Franzini; Alberto Malovini; Cristiana Larizza; Vittorio Casella (ICOST, 2019)

Ontology-Driven Real World Evidence Extraction from Clinical Narratives. - Lorenzo Chiudinelli; Matteo Gabetta; G. Centorrino; Natalia Viani; Cristina Tasca; Alberto Zambelli; Mauro Bucalo; Arianna Ghirardi; Nicola Barbarini; Eleonora Sfreddo; Carlo Tondini; Riccardo Bellazzi; et al. (MedInfo, 2019)

CBS-miRSeq: A comprehensive tool for accurate and extensive analyses of microRNA-sequencing data. - Rupesh K. Kesharwani; Mattia Chiesa; Riccardo Bellazzi; Gualtiero I. Colombo (Comput. Biol. Medicine, 2019)

Supervised methods to extract clinical events from cardiology reports in Italian. - Natalia Viani; Timothy A. Miller; Carlo Napolitano; Silvia G. Priori; Guergana K. Savova; Riccardo Bellazzi; Lucia Sacchi (J. Biomed. Informatics, 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)

Deep Learning Applied to Blood Glucose Prediction from Flash Glucose Monitoring and Fitbit Data. - Pietro Bosoni; Marco Meccariello; Valeria Calcaterra; Cristiana Larizza; Lucia Sacchi; Riccardo Bellazzi (AIME, 2020)

Explainable Artificial Intelligence (XAI): Current Approaches and Paths to the Future. - John H. Holmes; Riccardo Bellazzi; Carlo Combi; Jason H. Moore; Niels Peek (AMIA, 2020)

A Reliable Machine Learning Approach applied to Single-Cell Classification in Acute Myeloid Leukemia. - Giovanna Nicora; Riccardo Bellazzi (AMIA, 2020)

The PULSE Project: A Case of Use of Big Data Uses Toward a Cohomprensive Health Vision of City Well Being. - Domenico Vito; Manuel Ottaviano; Riccardo Bellazzi; Cristiana Larizza; Vittorio Casella; Daniele Pala; Marica Franzini (ICOST, 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)

A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks. - Elisabetta Sauta; Andrea Demartini; Francesca Vitali; Alberto Riva; Riccardo Bellazzi (BMC Bioinform., 2020)

Integrating machine learning techniques and physiology based heart rate features for antepartum fetal monitoring. - Maria G. Signorini; Nicolò Pini; Alberto Malovini; Riccardo Bellazzi; Giovanni Magenes (Comput. Methods Programs Biomed., 2020)

SCOR: A secure international informatics infrastructure to investigate COVID-19. - Jean Louis Raisaro; Francesco Marino; Juan Ramón Troncoso-Pastoriza; Raphaelle Beau-Lejdstrom; Riccardo Bellazzi; Robert Murphy; Elmer V. Bernstam; Henry Wang; Mauro Bucalo; Yong Chen 016; Assaf Gottlieb; Arif Ozgun Harmanci; et al. (J. Am. Medical Informatics Assoc., 2020)

A survey on single and multi omics data mining methods in cancer data classification. - Zahra Momeni; Esmail Hassanzadeh; Mohammad Saniee Abadeh; Riccardo Bellazzi (J. Biomed. Informatics, 2020)

A continuous-time Markov model approach for modeling myelodysplastic syndromes progression from cross-sectional data. - Giovanna Nicora; F. Moretti; Elisabetta Sauta; Matteo Giovanni Della Porta; Luca Malcovati; Mario Cazzola; Silvana Quaglini; Riccardo Bellazzi (J. Biomed. Informatics, 2020)

International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. - Gabriel A. Brat; Griffin M. Weber; Nils Gehlenborg; Paul Avillach; Nathan P. Palmer; Luca Chiovato; James J. Cimino; Lemuel R. Waitman; Gilbert S. Omenn; Alberto Malovini; Jason H. Moore; Brett K. Beaulieu-Jones; et al. (npj Digit. Medicine, 2020)

Deep Learning to Unveil Correlations between Urban Landscape and Population Health. - Daniele Pala; Alessandro Aldo Caldarone; Marica Franzini; Alberto Malovini; Cristiana Larizza; Vittorio Casella; Riccardo Bellazzi (Sensors, 2020)

Patient-Generated Health Data Integration and Advanced Analytics for Diabetes Management: The AID-GM Platform. - Elisa Salvi; Pietro Bosoni; Valentina Tibollo; Lisanne Kruijver; Valeria Calcaterra; Lucia Sacchi; Riccardo Bellazzi; Cristiana Larizza (Sensors, 2020)

ALFABETO: Supporting COVID-19 Hospital Admissions with Bayesian Networks. - Giovanna Nicora; Antonio Lo Tito; Antonella Donatelli; Giovanni Callea; Carla Biasibetti; Maria Vittoria Galli; Federico Comotto; Chandra Bortolotto; Stefano Perlini; Lorenzo Preda; Riccardo Bellazzi (SMARTERCARE@AI*IA, 2021)

A Topological Data Analysis Mapper of the Ovarian Folliculogenesis Based on MALDI Mass Spectrometry Imaging Proteomics. - Giulia Campi; Giovanna Nicora; Giulia Fiorentino; Andrew Smith; Fulvio Magni; Silvia Garagna; Maurizio Zuccotti; Riccardo Bellazzi (AIME, 2021)

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)

The Gene Mover's Distance: Single-cell similarity via Optimal Transport. - Riccardo Bellazzi; Andrea Codegoni; Stefano Gualandi; Giovanna Nicora; Eleonora Vercesi (CoRR, 2021)

Tree-based local explanations of machine learning model predictions, AraucanaXAI. - Enea Parimbelli; Giovanna Nicora; Szymon Wilk; Wojtek Michalowski; Riccardo Bellazzi (CoRR, 2021)

Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. - Jeffrey G. Klann; Hossein Estiri; Griffin M. Weber; Bertrand Moal; Paul Avillach; Chuan Hong; Amelia L. M. Tan; Brett K. Beaulieu-Jones; Victor M. Castro; Thomas Maulhardt; Alon Geva; Alberto Malovini; et al. (J. Am. Medical Informatics Assoc., 2021)

The PERISCOPE Data Atlas: A Demonstration of Release v1.2. - Enea Parimbelli; Cristiana Larizza; Vladimir Urosevic; Andrea Pogliaghi; Manuel Ottaviano; Cindy Cheng; Vincent Benoit; Daniele Pala; Vittorio Casella; Riccardo Bellazzi; Paolo Giudici (AIME, 2022)

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)

Dynamic Prediction of Non-Neutral SARS-Cov-2 Variants Using Incremental Machine Learning. - Giovanna Nicora; Simone Marini; Marco Salemi; Riccardo Bellazzi (MIE, 2022)

A manifesto on explainability for artificial intelligence in medicine. - Carlo Combi; Beatrice Amico; Riccardo Bellazzi; Andreas Holzinger; Jason H. Moore; Marinka Zitnik; John H. Holmes (Artif. Intell. Medicine, 2022)

Localising In-Domain Adaptation of Transformer-Based Biomedical Language Models. - Tommaso Mario Buonocore; Claudio Crema; Alberto Redolfi; Riccardo Bellazzi; Enea Parimbelli (CoRR, 2022)

Evaluating pointwise reliability of machine learning prediction. - Giovanna Nicora; Miguel Rios; Ameen Abu-Hanna; Riccardo Bellazzi (J. Biomed. Informatics, 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)

A Rule-Free Approach for Cardiological Registry Filling from Italian Clinical Notes with Question Answering Transformers. - Tommaso Mario Buonocore; Enea Parimbelli; Valentina Tibollo; Carlo Napolitano; Silvia G. Priori; Riccardo Bellazzi (AIME, 2023)

Machine Learning Applied to Electronic Health Record Data: Opportunities and Challenges. - Riccardo Bellazzi (BIOSTEC, 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)

Advancing Italian Biomedical Information Extraction with Large Language Models: Methodological Insights and Multicenter Practical Application. - Claudio Crema; Tommaso Mario Buonocore; Silvia Fostinelli; Enea Parimbelli; Federico Verde; Cira Fundarò; Marina Manera; Matteo Cotta Ramusino; Marco Capelli; Alfredo Costa; Giuliano Binetti; Riccardo Bellazzi; et al. (CoRR, 2023)

Why did AI get this one wrong? - Tree-based explanations of machine learning model predictions. - Enea Parimbelli; Tommaso Mario Buonocore; Giovanna Nicora; Wojtek Michalowski; Szymon Wilk; Riccardo Bellazzi (Artif. Intell. Medicine, 2023)

Bioengineering and medical informatics education in MD programs: perspectives from three Italian experiences. - Riccardo Bellazzi; Maurizio Cecconi; Maria Laura Costantino; Pierangelo Veltri (Int. J. Medical Informatics, 2023)

A comparative study of the definitions of intradialytic hypotension correlated with increased mortality to identify universal predictors. - Laurence S. Q. N. Ngankem; Cristiana Larizza; Antonino Nocera; Giuseppe Rombolà; Silvana Quaglini; Riccardo Bellazzi; Maria Laura Costantino; Giustina Casagrande (Int. J. Medical Informatics, 2023)

DeepMiCa: Automatic segmentation and classification of breast MIcroCAlcifications from mammograms. - Alessia Gerbasi; Greta Clementi; Fabio Corsi; Sara Albasini; Alberto Malovini; Silvana Quaglini; Riccardo Bellazzi (Comput. Methods Programs Biomed., 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)

Localizing in-domain adaptation of transformer-based biomedical language models. - Tommaso Mario Buonocore; Claudio Crema; Alberto Redolfi; Riccardo Bellazzi; Enea Parimbelli (J. Biomed. Informatics, 2023)

Advancing Italian biomedical information extraction with transformers-based models: Methodological insights and multicenter practical application. - Claudio Crema; Tommaso Mario Buonocore; Silvia Fostinelli; Enea Parimbelli; Federico Verde; Cira Fundarò; Marina Manera; Matteo Cotta Ramusino; Marco Capelli; Alfredo Costa; Giuliano Binetti; Riccardo Bellazzi; et al. (J. Biomed. Informatics, 2023)

Do You Trust Your Model Explanations? An Analysis of XAI Performance Under Dataset Shift. - Lorenzo Peracchio; Giovanna Nicora; Tommaso Mario Buonocore; Riccardo Bellazzi; Enea Parimbelli (AIME (2), 2024)

Assessing a Personalized, Hybrid, and Generic Approach for Glucose Prediction in Type 1 Diabetes. - Pietro Bosoni; Morten Hasselstrøm Jensen; Riccardo Bellazzi; Simon Lebech Cichosz (BIBM, 2024)

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)

Sequencing Efforts and Epidemiological Trends: Analyzing SARS-CoV-2 Dynamics Across European Nations. - Simone Rancati; Daniele Pala; Simone Marini; Marco Salemi; Riccardo Bellazzi; Giovanna Nicora (BIBM, 2024)

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

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)

Reshaping free-text radiology notes into structured reports with generative question answering transformers. - Laura Bergomi; Tommaso Mario Buonocore; Paolo Antonazzo; Lorenzo Alberghi; Riccardo Bellazzi; Lorenzo Preda; Chandra Bortolotto; Enea Parimbelli (Artif. Intell. Medicine, 2024)

Forecasting dominance of SARS-CoV-2 lineages by anomaly detection using deep AutoEncoders. - Simone Rancati; Giovanna Nicora; Mattia Prosperi; Riccardo Bellazzi; Marco Salemi; Simone Marini (Briefings Bioinform., 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)

Forecasting glucose values for patients with type 1 diabetes using heart rate data. - Raffaele Giancotti; Pietro Bosoni; Patrizia Vizza; Giuseppe Tradigo; Agostino Gnasso; Pietro Hiram Guzzi; Riccardo Bellazzi; Concetta Irace; Pierangelo Veltri (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)

Reshaping Free-Text Radiology Notes Into Structured Reports With Generative Transformers. - Laura Bergomi; Tommaso Mario Buonocore; Paolo Antonazzo; Lorenzo Alberghi; Riccardo Bellazzi; Lorenzo Preda; Chandra Bortolotto; Enea Parimbelli (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)

Bayesian Networks in the Management of Hospital Admissions: A Comparison between Explainable AI and Black Box AI during the Pandemic. - Giovanna Nicora; Michele Catalano; Chandra Bortolotto; Marina Francesca Achilli; Gaia Messana; Antonio Lo Tito; Alessio Consonni; Sara Cutti; Federico Comotto; Giulia Maria Stella; Angelo Corsico; Stefano Perlini; et al. (J. Imaging, 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)

Enhancing RAGs for Rheumatology Triage: Strategies for Optimized Knowledge Retrieval. - Tommaso Mario Buonocore; Emanuele Cardinale; Garifallia Sakellariou; Riccardo Bellazzi; Lucia Sacchi (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)

SARITA: a large language model for generating the S1 subunit of the SARS-CoV-2 spike protein. - Simone Rancati; Giovanna Nicora; Laura Bergomi; Tommaso Mario Buonocore; Daniel M. Czyz; Enea Parimbelli; Riccardo Bellazzi; Marco Salemi; Mattia Prosperi; Simone Marini (Briefings Bioinform., 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)

Which explanations do clinicians prefer? A comparative evaluation of XAI understandability and actionability in predicting the need for hospitalization. - Laura Bergomi; Giovanna Nicora; Marta Anna Orlowska; Chiara Podrecca; Riccardo Bellazzi; Caterina Fregosi; Francesco Salinaro; Marco Bonzano; Giuseppe Crescenzi; Francesco Speciale; Santi Di Pietro; Valentina Zuccaro; et al. (BMC Medical Informatics Decis. Mak., 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)