Arianna Dagliati

69 papers B 4C 1Misc 5Journal 23Unranked 36
YearRankTypeTitle / Venue / Authors
2026 J jnl
The association of environmental exposure with multiple sclerosis severity score: A study based on sequential data modeling.
Int. J. Medical Informatics
Mahin Vazifehdan, Pietro Bosoni, Erica Tavazzi, Enrico Longato, Eleonora Tavazzi, Roberto Bergamaschi, Barbara Di Camillo, Ameen Abu-Hanna, Riccardo Bellazzi, Arianna Dagliati
2025 — conf
Combining Clinical and Gene Expression Variables via Knowledge Graph Embedding for Prediction of Coronary Artery Stenosis.
AIME (1)
Giuseppe Albi, Arianna Dagliati, Chiara Vavassori, Laura Pisani, Mattia Chiesa, Luca Piacentini, Saima Mushtaq, Gianluca Pontone, Riccardo Bellazzi, Gualtiero I. Colombo
2025 — conf
Deep Learning Model Predicts Relapse Occurrence in Multiple Sclerosis Via Sequences of Environmental Data.
BIBM
Enrico Longato, Erica Tavazzi, Anna Milani, Elena Marinello, Pietro Bosoni, Arianna Dagliati, Mahin Vazifehdan, Riccardo Bellazzi, Isotta Trescato, Alessandro Guazzo, Martina Vettoretti, Eleonora Tavazzi, Lara Ahmad, Roberto Bergamaschi, Paola Cavalla, Umberto Manera, Adriano Chiò, Barbara Di Camillo
2025 — conf
Domain-Adversarial Neural Networks to Explore Biases in the Diagnosis of Multiple Eye Conditions from Fundus Image Data.
AIME (2)
Chiara Pullega, Arianna Dagliati, Allan Tucker
2025 — conf
Effect of Environmental Personal Exposure on Amyotrophic Lateral Sclerosis Disease Progression.
ICHI
Pietro Bosoni, Irene Aiello, Umberto Manera, Marta Gromicho, Inês Alves, Barbara Di Camillo, Mamede de Carvalho, Adriano Chiò, Riccardo Bellazzi, Arianna Dagliati
2025 — conf
Exploring Usability Standards in Robotic Rehabilitation: A Meta-Analysis of System Usability Scale Scores.
ICORR
Giovanna Nicora, Gabriele Santangelo, Giacomo Marzero, Arianna Dagliati, Irene Aprile, Silvana Quaglini
2025 J jnl
How good is your synthetic data? SynthRO, a dashboard to evaluate and benchmark synthetic tabular data.
BMC Medical Informatics Decis. Mak.
Gabriele Santangelo, Giovanna Nicora, Riccardo Bellazzi, Arianna Dagliati
2025 J jnl
Longitudinal Missing Data Imputation for Predicting Disability Stage of Patients with Multiple Sclerosis.
CoRR
Mahin Vazifehdan, Pietro Bosoni, Daniele Pala, Eleonora Tavazzi, Roberto Bergamaschi, Riccardo Bellazzi, Arianna Dagliati
2025 J jnl
RelAI: an automated approach to judge pointwise ML prediction reliability.
Int. J. Medical Informatics
Lorenzo Peracchio, Giovanna Nicora, Enea Parimbelli, Tommaso Mario Buonocore, Eleonora Tavazzi, Roberto Bergamaschi, Arianna Dagliati, Riccardo Bellazzi
2025 — conf
Temporal Characterization of Glycemia Risk Index Sequences through Random Walk Bayesian Clustering.
ICHI
Francesca Pescol, Pietro Bosoni, Stefania Ghilotti, Pasquale De Cata, Valentina Tibollo, Arianna Dagliati, Fulvia Ferrazzi, Lucia Sacchi, Riccardo Bellazzi
2025 — conf
Upper Limb Movements Simulations with Generative Diffusion Models.
AIME (2)
Gabriele Santangelo, Chiara Alessi, Nikolas Sacchi, Giovanna Nicora, Riccardo Bellazzi, Antonella Ferrara, Arianna Dagliati
2024 J jnl
An extensible and unifying approach to retrospective clinical data modeling: the BrainTeaser Ontology.
J. Biomed. Semant.
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
2024 J jnl
CAD-RADS scoring of coronary CT angiography with Multi-Axis Vision Transformer: A clinically-inspired deep learning pipeline.
Comput. Methods Programs Biomed.
Alessia Gerbasi, Arianna Dagliati, Giuseppe Albi, Mattia Chiesa, Daniele Andreini, Andrea Baggiano, Saima Mushtaq, Gianluca Pontone, Riccardo Bellazzi, Gualtiero Colombo
2024 — conf
Continuous Markov Models for Analyzing the Effect of Environmental Personal Exposure on Multiple Sclerosis Progression.
pHealth
Pietro Bosoni, Eleonora Tavazzi, Riccardo Bellazzi, Roberto Bergamaschi, Arianna Dagliati
2024 J jnl
Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis.
CoRR
Lorenzo Peracchio, Giovanna Nicora, Enea Parimbelli, Tommaso Mario Buonocore, Roberto Bergamaschi, Eleonora Tavazzi, Arianna Dagliati, Riccardo Bellazzi
2024 J jnl
Exploring the Impact of Environmental Pollutants on Multiple Sclerosis Progression.
CoRR
Elena Marinello, Erica Tavazzi, Enrico Longato, Pietro Bosoni, Arianna Dagliati, Mahin Vazifehdan, Riccardo Bellazzi, Isotta Trescato, Alessandro Guazzo, Martina Vettoretti, Eleonora Tavazzi, Lara Ahmad, Roberto Bergamaschi, Paola Cavalla, Umberto Manera, Adriano Chiò, Barbara Di Camillo
2024 — conf
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024.
CLEF (2)
Giovanni Birolo, Pietro Bosoni, Guglielmo Faggioli, Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Alessandro Guazzo, Enrico Longato, Sara C. Madeira, Umberto Manera, Stefano Marchesin, Laura Menotti, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
2024 — conf
Land Use Regression on Interpolated Urban Graphs to Assess Personal Exposure to Air Pollution.
BIBM
Daniele Pala, Giacomo Zagami, Pietro Bosoni, Mahin Vazifehdan, Riccardo Bellazzi, Arianna Dagliati
2024 — conf
Machine Learning Models Highlight the Impact of Pollution and Weather Patterns on Relapse Occurrence in Multiple Sclerosis Patients.
BIBM
Elena Marinello, Erica Tavazzi, Enrico Longato, Pietro Bosoni, Arianna Dagliati, Mahin Vazifehdan, Riccardo Bellazzi, Isotta Trescato, Alessandro Guazzo, Martina Vettoretti, Eleonora Tavazzi, Lara Ahmad, Roberto Bergamaschi, Paola Cavalla, Umberto Manera, Adriano Chiò, Barbara Di Camillo
2024 — conf
Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge.
CLEF (Working Notes)
Giovanni Birolo, Pietro Bosoni, Guglielmo Faggioli, Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Alessandro Guazzo, Enrico Longato, Sara C. Madeira, Umberto Manera, Stefano Marchesin, Laura Menotti, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
2024 — conf
Predicting Multiple Sclerosis Relapses Using Patient Exposure Trajectories.
CLEF (Working Notes)
Pietro Bosoni, Mahin Vazifehdan, Daniele Pala, Eleonora Tavazzi, Roberto Bergamaschi, Riccardo Bellazzi, Arianna Dagliati
2024 — conf
SynthCheck: A Dashboard for Synthetic Data Quality Assessment.
BIOSTEC (2)
Gabriele Santangelo, Giovanna Nicora, Riccardo Bellazzi, Arianna Dagliati
2024 — conf
iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge.
ECIR (6)
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
2023 B conf
A Topological Data Analysis Framework for Computational Phenotyping.
AIME
Giuseppe Albi, Alessia Gerbasi, Mattia Chiesa, Gualtiero I. Colombo, Riccardo Bellazzi, Arianna Dagliati
2023 J jnl
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review.
Artif. Intell. Medicine
Erica Tavazzi, Enrico Longato, Martina Vettoretti, Helena Aidos, Isotta Trescato, Chiara Roversi, Andreia S. Martins, Eduardo N. Castanho, Ruben Branco, Diogo F. Soares, Alessandro Guazzo, Giovanni Birolo, Daniele Pala, Pietro Bosoni, Adriano Chiò, Umberto Manera, Mamede de Carvalho, Bruno Miranda, Marta Gromicho, Inês Alves, Riccardo Bellazzi, Arianna Dagliati, Piero Fariselli, Sara C. Madeira, Barbara Di Camillo
2023 J jnl
CAD-RADS scoring of coronary CT angiography with Multi-Axis Vision Transformer: a clinically-inspired deep learning pipeline.
CoRR
Alessia Gerbasi, Arianna Dagliati, Giuseppe Albi, Mattia Chiesa, Daniele Andreini, Andrea Baggiano, Saima Mushtaq, Gianluca Pontone, Riccardo Bellazzi, Gualtiero Colombo
2023 J jnl
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?
J. Biomed. Informatics
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
2023 — conf
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023.
CLEF
Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
2023 — conf
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.
CLEF (Working Notes)
Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
2023 — conf
Predicting and Explaining Risk of Disease Worsening Using Temporal Features in Multiple Sclerosis.
CLEF (Working Notes)
Tommaso Mario Buonocore, Pietro Bosoni, Giovanna Nicora, Mahin Vazifehdan, Riccardo Bellazzi, Enea Parimbelli, Arianna Dagliati
2023 — conf
iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.
ECIR (3)
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
2022 Misc conf
A Deductive Data-Driven Pipeline Powered by MLHO for Post-Acute Sequelae of COVID-19 (PASC) Phenotyping.
AMIA
Arianna Dagliati, Zachary H. Strasser, Rebecca Mesa, Zahra Shakeri, Alaleh Azhir, Riccardo Bellazzi, Shawn N. Murphy, Hossein Estiri
2022 — conf
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.
ICCE-Berlin
Vladimir Urosevic, Arianna Dagliati, Manuel Ottaviano, Nikola Vojicic, Cristiana Larizza, Daniele Pala
2022 — conf
Evaluation of XAI on ALS 6-months mortality prediction.
CLEF (Working Notes)
Tommaso Mario Buonocore, Giovanna Nicora, Arianna Dagliati, Enea Parimbelli
2022 — conf
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022.
CLEF
Alessandro Guazzo, Isotta Trescato, Enrico Longato, Enidia Hazizaj, Dennis Dosso, Guglielmo Faggioli, Giorgio Maria Di Nunzio, Gianmaria Silvello, Martina Vettoretti, Erica Tavazzi, Chiara Roversi, Piero Fariselli, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro
2022 J jnl
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients.
npj Digit. Medicine
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
2022 — conf
Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge.
CLEF (Working Notes)
Alessandro Guazzo, Isotta Trescato, Enrico Longato, Enidia Hazizaj, Dennis Dosso, Guglielmo Faggioli, Giorgio Maria Di Nunzio, Gianmaria Silvello, Martina Vettoretti, Erica Tavazzi, Chiara Roversi, Piero Fariselli, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro
2022 J jnl
SurvMaximin: Robust federated approach to transporting survival risk prediction models.
J. Biomed. Informatics
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
2021 J jnl
Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview.
Briefings Bioinform.
Arianna Dagliati, Alberto Malovini, Valentina Tibollo, Riccardo Bellazzi
2021 Misc conf
Temporal Phenotypic Pathways of Post-Acute Sequelae of SARS-CoV-2 by an International Consortium for Clinical Characterization of COVID-19 (4CE).
AMIA
Shawn N. Murphy, Hossein Estiri, Arianna Dagliati, Riccardo Bellazzi, John H. Holmes
2020 — conf
Building Trajectories Over Topology with TDA-PTS: An Application in Modelling Temporal Phenotypes of Disease.
PKDD/ECML Workshops
Seyed Erfan Sajjadi, Barbara Draghi, Lucia Sacchi, Arianna Dagliati, John H. Holmes, Allan Tucker
2020 J jnl
Mining post-surgical care processes in breast cancer patients.
Artif. Intell. Medicine
Lorenzo Chiudinelli, Arianna Dagliati, Valentina Tibollo, Sara Albasini, Nophar Geifman, Niels Peek, John H. Holmes, Fabio Corsi, Riccardo Bellazzi, Lucia Sacchi
2020 J jnl
The use of missing values in proteomic data-independent acquisition mass spectrometry to enable disease activity discrimination.
Bioinform.
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
2020 J jnl
Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records.
Artif. Intell. Medicine
Arianna Dagliati, Nophar Geifman, Niels Peek, John H. Holmes, Lucia Sacchi, Riccardo Bellazzi, Seyed Erfan Sajjadi, Allan Tucker
2019 — conf
A Dashboard for Latent Class Trajectory Modeling: Application in Rheumatoid Arthritis.
MedInfo
Beatrice Amico, Arianna Dagliati, Darren Plant, Anne Barton, Niels Peek, Nophar Geifman
2019 B conf
Inferring Temporal Phenotypes with Topological Data Analysis and Pseudo Time-Series.
AIME
Arianna Dagliati, Nophar Geifman, Niels Peek, John H. Holmes, Lucia Sacchi, Seyed Erfan Sajjadi, Allan Tucker
2019 J jnl
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.
BMC Medical Informatics Decis. Mak.
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
2018 J jnl
A dashboard-based system for supporting diabetes care.
J. Am. Medical Informatics Assoc.
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
2018 J jnl
Big Data as a Driver for Clinical Decision Support Systems: A Learning Health Systems Perspective.
Frontiers Digit. Humanit.
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
2018 J jnl
Incorporating repeating temporal association rules in Naïve Bayes classifiers for coronary heart disease diagnosis.
J. Biomed. Informatics
Kalia Orphanou, Arianna Dagliati, Lucia Sacchi, Athena Stassopoulou, Elpida Keravnou, Riccardo Bellazzi
2017 B conf
Generating and Comparing Knowledge Graphs of Medical Processes Using pMineR.
K-CAP
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
2017 J jnl
Temporal electronic phenotyping by mining careflows of breast cancer patients.
J. Biomed. Informatics
Arianna Dagliati, Lucia Sacchi, Alberto Zambelli, Valentina Tibollo, L. Pavesi, John H. Holmes, Riccardo Bellazzi
2017 B conf
pMineR: An Innovative R Library for Performing Process Mining in Medicine.
AIME
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
2016 — conf
Combining Naive Bayes Classifiers with Temporal Association Rules for Coronary Heart Disease Diagnosis.
ICHI
Kalia Orphanou, Arianna Dagliati, Lucia Sacchi, Athena Stassopoulou, Elpida Keravnou, Riccardo Bellazzi
2016 Misc conf
Hierarchical Bayesian Logistic Regression to forecast metabolic control in type 2 DM patients.
AMIA
Arianna Dagliati, Alberto Malovini, Pasquale De Cata, Giulia Cogni, Marsida Teliti, Lucia Sacchi, Carlo Cerra, Luca Chiovato, Riccardo Bellazzi
2016 — conf
Learning T2D Evolving Complexity from EMR and Administrative Data by Means of Continuous Time Bayesian Networks.
HEALTHINF
Simone Marini, Arianna Dagliati, Lucia Sacchi, Riccardo Bellazzi
2015 — conf
Improving Clinical Decisions on T2DM Patients Integrating Clinical, Administrative and Environmental Data.
MedInfo
Daniele Segagni, Lucia Sacchi, Arianna Dagliati, Valentina Tibollo, Paola Leporati, Pasquale De Cata, Luca Chiovato, Riccardo Bellazzi
2015 — conf
Improving risk-stratification of Diabetes complications using temporal data mining.
EMBC
Lucia Sacchi, Arianna Dagliati, Daniele Segagni, Paola Leporati, Luca Chiovato, Riccardo Bellazzi
2015 C conf
Inferring air quality maps from remotely sensed data to exploit georeferenced clinical onsets: The Pavia 2013 case.
IGARSS
Andrea Marinoni, Arianna Dagliati, Riccardo Bellazzi, Paolo Gamba
2015 — conf
On The Correlation Between Geo-Referenced Clinical Data And Remotely Sensed Air Pollution Maps.
MedInfo
Arianna Dagliati, Andrea Marinoni, Carlo Cerra, Paolo Gamba, Riccardo Bellazzi
2015 — conf
Template for preparation of papers for IEEE sponsored conferences & symposia.
EMBC
Lucia Sacchi, Arianna Dagliati, Valentina Tibollo, Paola Leporati, Pasquale De Cata, Carlo Cerra, Luca Chiovato, Riccardo Bellazzi
2014 — conf
A data gathering framework to collect Type 2 diabetes patients data.
BHI
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
2014 — conf
A proposal of architecture to share patients data out of healthcare settings for research purposes.
BHI
Liss Hernández, Jorge Onieva, Giuseppe Fico, Jorge Cancela, Arianna Dagliati, Mauro Bucalo, Lucia Sacchi, Riccardo Bellazzi, María Teresa Arredondo
2014 — conf
Temporal abstractions to enrich Activity-Based Process Mining corpus with clinical time series.
BHI
Carlos Fernández-Llatas, Lucia Sacchi, José-Miguel Benedí, Arianna Dagliati, Vicente Traver, Riccardo Bellazzi
2014 — conf
Temporal data mining and process mining techniques to identify cardiovascular risk-associated clinical pathways in Type 2 diabetes patients.
BHI
Arianna Dagliati, Lucia Sacchi, Carlo Cerra, Paola Leporati, Pasquale De Cata, Luca Chiovato, John H. Holmes, Riccardo Bellazzi
2013 Misc conf
Mining Careflow Patterns in data warehouses of breast cancer patients.
AMIA
Lucia Sacchi, Daniele Segagni, Arianna Dagliati, Alberto Zambelli, Riccardo Bellazzi
2012 J jnl
An ICT infrastructure to integrate clinical and molecular data in oncology research.
BMC Bioinform.
Daniele Segagni, Valentina Tibollo, Arianna Dagliati, Alberto Zambelli, Silvia G. Priori, Riccardo Bellazzi
2011 — conf
The ONCO-I2b2 Project: Integrating Biobank Information and Clinical Data to Support Translational Research in Oncology.
MIE
Daniele Segagni, Valentina Tibollo, Arianna Dagliati, Leonardo Perinati, Alberto Zambelli, Silvia G. Priori, Riccardo Bellazzi
2005 Misc conf
Comparison of two temporal abstraction procedures: a case study in prediction from monitoring data.
AMIA
Marion Verduijn, Arianna Dagliati, Lucia Sacchi, Niels Peek, Riccardo Bellazzi, Evert de Jonge, Bas A. de Mol