Arianna Dagliati

According to our database, Arianna Dagliati authored at least 56 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An extensible and unifying approach to retrospective clinical data modeling: the BrainTeaser Ontology.

Guglielmo Faggioli, Laura Menotti, Stefano Marchesin, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Marta Gromicho, Umberto Manera, Eleonora Tavazzi, Giorgio Maria Di Nunzio, Gianmaria Silvello, Nicola Ferro

J. Biomed. Semant., December, 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, Roberto Bergamaschi, Paola Cavalla, Umberto Manera, Adriano Chiò, Barbara Di Camillo

CoRR, 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

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

Comput. Methods Programs Biomed., 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

Proceedings of the pHealth 2024 - Proceedings of the 20th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 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, Piero Fariselli, Jose Manuel García Dominguez, Sara C. Madeira, Eleonora Tavazzi

Proceedings of the Advances in Information Retrieval, 2024

Predicting Multiple Sclerosis Relapses Using Patient Exposure Trajectories.

Pietro Bosoni, Mahin Vazifehdan, Daniele Pala, Eleonora Tavazzi, Roberto Bergamaschi, Riccardo Bellazzi, Arianna Dagliati

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 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, 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

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 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, 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

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

SynthCheck: A Dashboard for Synthetic Data Quality Assessment.

Gabriele Santangelo, Giovanna Nicora, Riccardo Bellazzi, Arianna Dagliati

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023

iDPP@CLEF 2023 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge.

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

Dataset, November, 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, 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

Artif. Intell. Medicine, August, 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, Lorenzo Chiudinelli, Priyam Das, Harrison G. Zhang, Bruce J. Aronow, Paul Avillach, Gabriel A. Brat, Tianxi Cai, Chuan Hong, William G. La Cava, He Hooi Will Loh, Yuan Luo, Shawn N. Murphy, Kee Yuan Hgiam, Gilbert S. Omenn, Lav P. Patel, Malarkodi J. Samayamuthu, Emily R. Shriver, Zahra Shakeri Hossein Abad, Byorn W. L. Tan, Shyam Visweswaran, Xuan Wang, Griffin M. Weber, Zongqi Xia, Bertrand Verdy, Qi Long, Danielle L. Mowery, John H. Holmes

J. Biomed. Informatics, March, 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, Piero Fariselli, Jose Manuel García Dominguez, Sara C. Madeira, Eleonora Tavazzi

Proceedings of the Advances in Information Retrieval, 2023

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023.

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

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.

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

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 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

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

A Topological Data Analysis Framework for Computational Phenotyping.

Giuseppe Albi, Alessia Gerbasi, Mattia Chiesa, Gualtiero I. Colombo, Riccardo Bellazzi, Arianna Dagliati

Proceedings of the Artificial Intelligence in Medicine, 2023

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, Lav P. Patel, Alba Gutiérrez-Sacristán, David A. Hanauer, John H. Holmes, Malarkodi Jebathilagam Samayamuthu, Florence T. Bourgeois, Sehi L'Yi, Sarah E. Maidlow, Bertrand Moal, Shawn N. Murphy, Zachary H. Strasser, Antoine Neuraz, Kee Yuan Ngiam, Ne-Hooi Will Loh, Gilbert S. Omenn, Andrea Prunotto, Lauren A. Dalvin, Jeffrey G. Klann, Petra Schubert, Fernando J. Sanz Vidorreta, Vincent Benoit, Guillaume Verdy, Ramakanth Kavuluru, Hossein Estiri, Yuan Luo, Alberto Malovini, Valentina Tibollo, Riccardo Bellazzi, Kelly Cho, Yuk-Lam Ho, Amelia L. M. Tan, Byorn W. L. Tan, Nils Gehlenborg, Sara Lozano-Zahonero, Vianney Jouhet, Luca Chiovato, Bruce J. Aronow, Emma M. S. Toh, Wei Gen Scott Wong, Sara Pizzimenti, Kavishwar B. Wagholikar, Mauro Bucalo, Tianxi Cai, Andrew M. South, Isaac S. Kohane, Griffin M. Weber

npj Digit. Medicine, 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, Rui Duan, Nathan P. Palmer, Meghan R. Hutch, Alba Gutiérrez-Sacristán, Riccardo Bellazzi, Luca Chiovato, Kelly Cho, Arianna Dagliati, Hossein Estiri, Noelia García-Barrio, Romain Griffier, David A. Hanauer, Yuk-Lam Ho, John H. Holmes, Mark S. Keller, Jeffrey G. Klann, Sehi L'Yi, Sara Lozano-Zahonero, Sarah E. Maidlow, Adeline Makoudjou, Alberto Malovini, Bertrand Moal, Jason H. Moore, Michele Morris, Danielle L. Mowery, Shawn N. Murphy, Antoine Neuraz, Kee Yuan Ngiam, Gilbert S. Omenn, Lav P. Patel, Miguel Pedrera-Jiménez, Andrea Prunotto, Malarkodi J. Samayamuthu, Fernando J. Sanz Vidorreta, Emily Schriver, Petra Schubert, Pablo Serrano-Balazote, Andrew M. South, Amelia L. M. Tan, Byorn W. L. Tan, Valentina Tibollo, Patric Tippmann, Shyam Visweswaran, Zongqi Xia, William Yuan, Daniela Zöller, Isaac S. Kohane, Paul Avillach, Zijian Guo, Tianxi Cai

J. Biomed. Informatics, 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

Proceedings of the 12th IEEE International Conference on Consumer Electronics, 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, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 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, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Evaluation of XAI on ALS 6-months mortality prediction.

Tommaso Mario Buonocore, Giovanna Nicora, Arianna Dagliati, Enea Parimbelli

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 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

Proceedings of the AMIA 2022, 2022

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

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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

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, Bernard D. Keavney, Anne Barton, Anthony D. Whetton, Nophar Geifman

Bioinform., 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

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

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

Proceedings of the ECML PKDD 2020 Workshops, 2020

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, Konstantina S. Nikita, Leif Groop, Rafael Gabriel, Luca Chiovato, Vicente Traver, Juan Francisco Merino-Torres, Claudio Cobelli, Riccardo Bellazzi, María Teresa Arredondo

BMC Medical Informatics Decis. Mak., 2019

A Dashboard for Latent Class Trajectory Modeling: Application in Rheumatoid Arthritis.

Beatrice Amico, Arianna Dagliati, Darren Plant, Anne Barton, Niels Peek, Nophar Geifman

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

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

Proceedings of the Artificial Intelligence in Medicine, 2019

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

A dashboard-based system for supporting diabetes care.

Arianna Dagliati, Lucia Sacchi, Valentina Tibollo, Giulia Cogni, Marsida Teliti, Antonio Martinez-Millana, Vicente Traver, Daniele Segagni, Jorge Posada, Manuel Ottaviano, Giuseppe Fico, María Teresa Arredondo, Pasquale De Cata, Luca Chiovato, Riccardo Bellazzi

J. Am. Medical Informatics Assoc., 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

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

Generating and Comparing Knowledge Graphs of Medical Processes Using pMineR.

Roberto Gatta, Mauro Vallati, Jacopo Lenkowicz, Eric Rojas, Andrea Damiani, Lucia Sacchi, Berardino De Bari, Arianna Dagliati, Carlos Fernández-Llatas, Matteo Montesi, Antonio Marchetti, Maurizio Castellano, Vincenzo Valentini

Proceedings of the Knowledge Capture Conference, 2017

pMineR: An Innovative R Library for Performing Process Mining in Medicine.

Roberto Gatta, Jacopo Lenkowicz, Mauro Vallati, Eric Rojas, Andrea Damiani, Lucia Sacchi, Berardino De Bari, Arianna Dagliati, Carlos Fernández-Llatas, Matteo Montesi, Antonio Marchetti, Maurizio Castellano, Vincenzo Valentini

Proceedings of the Artificial Intelligence in Medicine, 2017

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

Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 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

Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

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

Proceedings of the AMIA 2016, 2016

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

Proceedings of the MEDINFO 2015: eHealth-enabled Health, 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

Proceedings of the MEDINFO 2015: eHealth-enabled Health, 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

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Improving risk-stratification of Diabetes complications using temporal data mining.

Lucia Sacchi, Arianna Dagliati, Daniele Segagni, Paola Leporati, Luca Chiovato, Riccardo Bellazzi

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

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

Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 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, Riccardo Bellazzi

Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 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

Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 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, Claudio Cobelli, Luca Chiovato, María Teresa Arredondo, Riccardo Bellazzi

Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013

Mining Careflow Patterns in data warehouses of breast cancer patients.

Lucia Sacchi, Daniele Segagni, Arianna Dagliati, Alberto Zambelli, Riccardo Bellazzi

Proceedings of the AMIA 2013, 2013

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

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

Proceedings of the User Centered Networked Health Care - Proceedings of MIE 2011, 2011

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

Proceedings of the AMIA 2005, 2005