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2020 – today
- 2024
[j16]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:
An extensible and unifying approach to retrospective clinical data modeling: the BrainTeaser Ontology. J. Biomed. Semant. 15(1): 16 (2024)- [j15]Alessia Gerbasi, Arianna Dagliati, Giuseppe Albi, Mattia Chiesa, Daniele Andreini, Andrea Baggiano, Saima Mushtaq, Gianluca Pontone, Riccardo Bellazzi, Gualtiero Colombo:
CAD-RADS scoring of coronary CT angiography with Multi-Axis Vision Transformer: A clinically-inspired deep learning pipeline. Comput. Methods Programs Biomed. 244: 107989 (2024) - [c37]Gabriele Santangelo, Giovanna Nicora, Riccardo Bellazzi, Arianna Dagliati:
SynthCheck: A Dashboard for Synthetic Data Quality Assessment. BIOSTEC (2) 2024: 246-256 - [c36]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:
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024. CLEF (2) 2024: 118-139 - [c35]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:
Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. CLEF (Working Notes) 2024: 1312-1331 - [c34]Pietro Bosoni, Mahin Vazifehdan, Daniele Pala, Eleonora Tavazzi, Roberto Bergamaschi, Riccardo Bellazzi, Arianna Dagliati:
Predicting Multiple Sclerosis Relapses Using Patient Exposure Trajectories. CLEF (Working Notes) 2024: 1341-1352 - [c33]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:
iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. ECIR (6) 2024: 53-59 - [c32]Pietro Bosoni, Eleonora Tavazzi, Riccardo Bellazzi, Roberto Bergamaschi, Arianna Dagliati:
Continuous Markov Models for Analyzing the Effect of Environmental Personal Exposure on Multiple Sclerosis Progression. pHealth 2024: 113-117 - [i3]Lorenzo Peracchio, Giovanna Nicora, Enea Parimbelli, Tommaso Mario Buonocore, Roberto Bergamaschi, Eleonora Tavazzi, Arianna Dagliati, Riccardo Bellazzi:
Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis. CoRR abs/2402.17554 (2024) - [i2]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:
Exploring the Impact of Environmental Pollutants on Multiple Sclerosis Progression. CoRR abs/2408.17376 (2024) - 2023
- [j14]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:
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review. Artif. Intell. Medicine 142: 102588 (2023) - [j13]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:
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record? J. Biomed. Informatics 139: 104306 (2023) - [c31]Giuseppe Albi, Alessia Gerbasi, Mattia Chiesa, Gualtiero I. Colombo, Riccardo Bellazzi, Arianna Dagliati:
A Topological Data Analysis Framework for Computational Phenotyping. AIME 2023: 323-327 - [c30]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:
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023. CLEF 2023: 343-369 - [c29]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:
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. CLEF (Working Notes) 2023: 1123-1164 - [c28]Tommaso Mario Buonocore, Pietro Bosoni, Giovanna Nicora, Mahin Vazifehdan, Riccardo Bellazzi, Enea Parimbelli, Arianna Dagliati:
Predicting and Explaining Risk of Disease Worsening Using Temporal Features in Multiple Sclerosis. CLEF (Working Notes) 2023: 1210-1218 - [c27]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:
iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. ECIR (3) 2023: 491-498 - [d1]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:
iDPP@CLEF 2023 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge. Zenodo, 2023
- [i1]Alessia Gerbasi, Arianna Dagliati, Giuseppe Albi, Mattia Chiesa, Daniele Andreini, Andrea Baggiano, Saima Mushtaq, Gianluca Pontone, Riccardo Bellazzi, Gualtiero Colombo:
CAD-RADS scoring of coronary CT angiography with Multi-Axis Vision Transformer: a clinically-inspired deep learning pipeline. CoRR abs/2304.07277 (2023) - 2022
- [j12]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:
SurvMaximin: Robust federated approach to transporting survival risk prediction models. J. Biomed. Informatics 134: 104176 (2022) - [j11]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:
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients. npj Digit. Medicine 5 (2022) - [c26]Arianna Dagliati, Zachary H. Strasser, Rebecca Mesa, Zahra Shakeri, Alaleh Azhir, Riccardo Bellazzi, Shawn N. Murphy, Hossein Estiri:
A Deductive Data-Driven Pipeline Powered by MLHO for Post-Acute Sequelae of COVID-19 (PASC) Phenotyping. AMIA 2022 - [c25]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:
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022. CLEF 2022: 395-422 - [c24]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:
Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge. CLEF (Working Notes) 2022: 1130-1210 - [c23]Tommaso Mario Buonocore, Giovanna Nicora, Arianna Dagliati, Enea Parimbelli:
Evaluation of XAI on ALS 6-months mortality prediction. CLEF (Working Notes) 2022: 1228-1235 - [c22]Vladimir Urosevic, Arianna Dagliati, Manuel Ottaviano, Nikola Vojicic, Cristiana Larizza, Daniele Pala:
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 2022: 1-6 - 2021
- [j10]Arianna Dagliati, Alberto Malovini, Valentina Tibollo, Riccardo Bellazzi:
Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview. Briefings Bioinform. 22(2): 812-822 (2021) - [c21]Shawn N. Murphy, Hossein Estiri, Arianna Dagliati, Riccardo Bellazzi, John H. Holmes:
Temporal Phenotypic Pathways of Post-Acute Sequelae of SARS-CoV-2 by an International Consortium for Clinical Characterization of COVID-19 (4CE). AMIA 2021 - 2020
- [j9]Lorenzo Chiudinelli, Arianna Dagliati, Valentina Tibollo, Sara Albasini, Nophar Geifman, Niels Peek, John H. Holmes, Fabio Corsi, Riccardo Bellazzi, Lucia Sacchi:
Mining post-surgical care processes in breast cancer patients. Artif. Intell. Medicine 105: 101855 (2020) - [j8]Arianna Dagliati, Nophar Geifman, Niels Peek, John H. Holmes, Lucia Sacchi, Riccardo Bellazzi, Seyed Erfan Sajjadi, Allan Tucker:
Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records. Artif. Intell. Medicine 108: 101930 (2020) - [j7]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:
The use of missing values in proteomic data-independent acquisition mass spectrometry to enable disease activity discrimination. Bioinform. 36(7): 2217-2223 (2020) - [c20]Seyed Erfan Sajjadi, Barbara Draghi, Lucia Sacchi, Arianna Dagliati, John H. Holmes, Allan Tucker:
Building Trajectories Over Topology with TDA-PTS: An Application in Modelling Temporal Phenotypes of Disease. PKDD/ECML Workshops 2020: 48-61
2010 – 2019
- 2019
- [j6]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:
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. 19(1): 163:1-163:16 (2019) - [c19]Arianna Dagliati, Nophar Geifman, Niels Peek, John H. Holmes, Lucia Sacchi, Seyed Erfan Sajjadi, Allan Tucker:
Inferring Temporal Phenotypes with Topological Data Analysis and Pseudo Time-Series. AIME 2019: 399-409 - [c18]Beatrice Amico, Arianna Dagliati, Darren Plant, Anne Barton, Niels Peek, Nophar Geifman:
A Dashboard for Latent Class Trajectory Modeling: Application in Rheumatoid Arthritis. MedInfo 2019: 911-915 - 2018
- [j5]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:
Big Data as a Driver for Clinical Decision Support Systems: A Learning Health Systems Perspective. Frontiers Digit. Humanit. 5: 8 (2018) - [j4]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:
A dashboard-based system for supporting diabetes care. J. Am. Medical Informatics Assoc. 25(5): 538-547 (2018) - [j3]Kalia Orphanou, Arianna Dagliati, Lucia Sacchi, Athena Stassopoulou, Elpida Keravnou, Riccardo Bellazzi:
Incorporating repeating temporal association rules in Naïve Bayes classifiers for coronary heart disease diagnosis. J. Biomed. Informatics 81: 74-82 (2018) - 2017
- [j2]Arianna Dagliati, Lucia Sacchi, Alberto Zambelli, Valentina Tibollo, L. Pavesi, John H. Holmes, Riccardo Bellazzi:
Temporal electronic phenotyping by mining careflows of breast cancer patients. J. Biomed. Informatics 66: 136-147 (2017) - [c17]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:
pMineR: An Innovative R Library for Performing Process Mining in Medicine. AIME 2017: 351-355 - [c16]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:
Generating and Comparing Knowledge Graphs of Medical Processes Using pMineR. K-CAP 2017: 36:1-36:4 - 2016
- [c15]Arianna Dagliati, Alberto Malovini, Pasquale De Cata, Giulia Cogni, Marsida Teliti, Lucia Sacchi, Carlo Cerra, Luca Chiovato, Riccardo Bellazzi:
Hierarchical Bayesian Logistic Regression to forecast metabolic control in type 2 DM patients. AMIA 2016 - [c14]Simone Marini, Arianna Dagliati, Lucia Sacchi, Riccardo Bellazzi:
Learning T2D Evolving Complexity from EMR and Administrative Data by Means of Continuous Time Bayesian Networks. HEALTHINF 2016: 338-344 - [c13]Kalia Orphanou, Arianna Dagliati, Lucia Sacchi, Athena Stassopoulou, Elpida Keravnou, Riccardo Bellazzi:
Combining Naive Bayes Classifiers with Temporal Association Rules for Coronary Heart Disease Diagnosis. ICHI 2016: 81-92 - 2015
- [c12]Lucia Sacchi, Arianna Dagliati, Valentina Tibollo, Paola Leporati, Pasquale De Cata, Carlo Cerra, Luca Chiovato, Riccardo Bellazzi:
Template for preparation of papers for IEEE sponsored conferences & symposia. EMBC 2015: 2123-2126 - [c11]Lucia Sacchi, Arianna Dagliati, Daniele Segagni, Paola Leporati, Luca Chiovato, Riccardo Bellazzi:
Improving risk-stratification of Diabetes complications using temporal data mining. EMBC 2015: 2131-2134 - [c10]Andrea Marinoni, Arianna Dagliati, Riccardo Bellazzi, Paolo Gamba:
Inferring air quality maps from remotely sensed data to exploit georeferenced clinical onsets: The Pavia 2013 case. IGARSS 2015: 3937-3940 - [c9]Daniele Segagni, Lucia Sacchi, Arianna Dagliati, Valentina Tibollo, Paola Leporati, Pasquale De Cata, Luca Chiovato, Riccardo Bellazzi:
Improving Clinical Decisions on T2DM Patients Integrating Clinical, Administrative and Environmental Data. MedInfo 2015: 682-686 - [c8]Arianna Dagliati, Andrea Marinoni, Carlo Cerra, Paolo Gamba, Riccardo Bellazzi:
On The Correlation Between Geo-Referenced Clinical Data And Remotely Sensed Air Pollution Maps. MedInfo 2015: 1048 - 2014
- [c7]Arianna Dagliati, Lucia Sacchi, Carlo Cerra, Paola Leporati, Pasquale De Cata, Luca Chiovato, John H. Holmes, Riccardo Bellazzi:
Temporal data mining and process mining techniques to identify cardiovascular risk-associated clinical pathways in Type 2 diabetes patients. BHI 2014: 240-243 - [c6]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:
A data gathering framework to collect Type 2 diabetes patients data. BHI 2014: 244-247 - [c5]Carlos Fernández-Llatas, Lucia Sacchi, José-Miguel Benedí, Arianna Dagliati, Vicente Traver, Riccardo Bellazzi:
Temporal abstractions to enrich Activity-Based Process Mining corpus with clinical time series. BHI 2014: 785-788 - [c4]Liss Hernández, Jorge Onieva, Giuseppe Fico, Jorge Cancela, Arianna Dagliati, Mauro Bucalo, Lucia Sacchi, Riccardo Bellazzi, María Teresa Arredondo:
A proposal of architecture to share patients data out of healthcare settings for research purposes. BHI 2014: 789-792 - 2013
- [c3]Lucia Sacchi, Daniele Segagni, Arianna Dagliati, Alberto Zambelli, Riccardo Bellazzi:
Mining Careflow Patterns in data warehouses of breast cancer patients. AMIA 2013 - 2012
- [j1]Daniele Segagni, Valentina Tibollo, Arianna Dagliati, Alberto Zambelli, Silvia G. Priori, Riccardo Bellazzi:
An ICT infrastructure to integrate clinical and molecular data in oncology research. BMC Bioinform. 13(S-4): S5 (2012) - 2011
- [c2]Daniele Segagni, Valentina Tibollo, Arianna Dagliati, Leonardo Perinati, Alberto Zambelli, Silvia G. Priori, Riccardo Bellazzi:
The ONCO-I2b2 Project: Integrating Biobank Information and Clinical Data to Support Translational Research in Oncology. MIE 2011: 887-891
2000 – 2009
- 2005
- [c1]Marion Verduijn, Arianna Dagliati, Lucia Sacchi, Niels Peek, Riccardo Bellazzi, Evert de Jonge, Bas A. de Mol:
Comparison of two temporal abstraction procedures: a case study in prediction from monitoring data. AMIA 2005
Coauthor Index
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