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- affiliation: University of Pavia, Italy
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2020 – today
- 2023
[j99]Enea Parimbelli
, Tommaso Mario Buonocore, Giovanna Nicora, Wojtek Michalowski, Szymon Wilk, Riccardo Bellazzi:
Why did AI get this one wrong? - Tree-based explanations of machine learning model predictions. Artif. Intell. Medicine 135: 102471 (2023)- 2022
- [j98]Carlo Combi, Beatrice Amico, Riccardo Bellazzi, Andreas Holzinger, Jason H. Moore, Marinka Zitnik, John H. Holmes:
A manifesto on explainability for artificial intelligence in medicine. Artif. Intell. Medicine 133: 102423 (2022) - [j97]Giovanna Nicora, Miguel Rios, Ameen Abu-Hanna, Riccardo Bellazzi:
Evaluating pointwise reliability of machine learning prediction. J. Biomed. Informatics 127: 103996 (2022) - [j96]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 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) - [c127]Enea Parimbelli, Cristiana Larizza, Vladimir Urosevic, Andrea Pogliaghi, Manuel Ottaviano, Cindy Cheng, Vincent Benoit, Daniele Pala, Vittorio Casella, Riccardo Bellazzi, Paolo Giudici:
The PERISCOPE Data Atlas: A Demonstration of Release v1.2. AIME 2022: 412-415 - [c126]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 - [c125]Giovanna Nicora, Simone Marini, Marco Salemi, Riccardo Bellazzi:
Dynamic Prediction of Non-Neutral SARS-Cov-2 Variants Using Incremental Machine Learning. MIE 2022: 654-658 - [i8]Tommaso Mario Buonocore, Claudio Crema, Alberto Redolfi, Riccardo Bellazzi, Enea Parimbelli:
Localising In-Domain Adaptation of Transformer-Based Biomedical Language Models. CoRR abs/2212.10422 (2022) - 2021
- [j95]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) - [j94]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, Andrew M. South, Shyam Visweswaran, Michele Morris, Malarkodi J. Samayamuthu, Gilbert S. Omenn, Kee Yuan Ngiam, Kenneth D. Mandl, Martin Boeker, Karen L. Olson, Danielle L. Mowery, Robert W. Follett, David A. Hanauer, Riccardo Bellazzi, Jason H. Moore, Ne-Hooi Will Loh, Douglas S. Bell, Kavishwar B. Wagholikar, Luca Chiovato, Valentina Tibollo, Siegbert Rieg, Anthony L. L. J. Li, Vianney Jouhet, Emily Schriver, Zongqi Xia, Meghan Hutch, Yuan Luo, Isaac S. Kohane, Gabriel A. Brat, Shawn N. Murphy:
Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. J. Am. Medical Informatics Assoc. 28(7): 1411-1420 (2021) - [c124]Giovanna Nicora, Antonio Lo Tito, Antonella Donatelli, Giovanni Callea, Carla Biasibetti, Maria Vittoria Galli, Federico Comotto, Chandra Bortolotto, Stefano Perlini, Lorenzo Preda, Riccardo Bellazzi:
ALFABETO: Supporting COVID-19 Hospital Admissions with Bayesian Networks. SMARTERCARE@AI*IA 2021: 79-84 - [c123]Giulia Campi, Giovanna Nicora, Giulia Fiorentino, Andrew Smith, Fulvio Magni, Silvia Garagna, Maurizio Zuccotti, Riccardo Bellazzi:
A Topological Data Analysis Mapper of the Ovarian Folliculogenesis Based on MALDI Mass Spectrometry Imaging Proteomics. AIME 2021: 43-47 - [c122]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 - [i7]Riccardo Bellazzi, Andrea Codegoni, Stefano Gualandi, Giovanna Nicora, Eleonora Vercesi:
The Gene Mover's Distance: Single-cell similarity via Optimal Transport. CoRR abs/2102.01218 (2021) - [i6]Enea Parimbelli, Giovanna Nicora, Szymon Wilk, Wojtek Michalowski, Riccardo Bellazzi:
Tree-based local explanations of machine learning model predictions, AraucanaXAI. CoRR abs/2110.08272 (2021) - 2020
- [j93]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) - [j92]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) - [j91]Elisabetta Sauta, Andrea Demartini, Francesca Vitali, Alberto Riva, Riccardo Bellazzi:
A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks. BMC Bioinform. 21(1): 219 (2020) - [j90]Maria G. Signorini, Nicolò Pini, Alberto Malovini, Riccardo Bellazzi, Giovanni Magenes:
Integrating machine learning techniques and physiology based heart rate features for antepartum fetal monitoring. Comput. Methods Programs Biomed. 185: 105015 (2020) - [j89]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, Assaf Gottlieb, Arif Ozgun Harmanci, Miran Kim, Yejin Kim, Jeffrey G. Klann, Catherine Klersy, Bradley A. Malin, Marie Méan, Fabian Prasser, Luigia Scudeller, Ali Torkamani, Julien Vaucher, Mamta Puppala, Stephen T. C. Wong, Milana Frenkel-Morgenstern, Hua Xu, Baba Maiyaki Musa, Abdulrazaq G. Habib, Trevor Cohen, Adam B. Wilcox, Hamisu M. Salihu, Heidi Sofia, Xiaoqian Jiang, Jean-Pierre Hubaux:
SCOR: A secure international informatics infrastructure to investigate COVID-19. J. Am. Medical Informatics Assoc. 27(11): 1721-1726 (2020) - [j88]Giovanna Nicora, F. Moretti, Elisabetta Sauta, Matteo Giovanni Della Porta, Luca Malcovati, Mario Cazzola, Silvana Quaglini, Riccardo Bellazzi:
A continuous-time Markov model approach for modeling myelodysplastic syndromes progression from cross-sectional data. J. Biomed. Informatics 104: 103398 (2020) - [j87]Zahra Momeni, Esmail Hassanzadeh, Mohammad Saniee Abadeh, Riccardo Bellazzi:
A survey on single and multi omics data mining methods in cancer data classification. J. Biomed. Informatics 107: 103466 (2020) - [j86]Elisa Salvi, Pietro Bosoni, Valentina Tibollo, Lisanne Kruijver, Valeria Calcaterra, Lucia Sacchi, Riccardo Bellazzi, Cristiana Larizza:
Patient-Generated Health Data Integration and Advanced Analytics for Diabetes Management: The AID-GM Platform. Sensors 20(1): 128 (2020) - [j85]Daniele Pala, Alessandro Aldo Caldarone, Marica Franzini, Alberto Malovini, Cristiana Larizza, Vittorio Casella, Riccardo Bellazzi:
Deep Learning to Unveil Correlations between Urban Landscape and Population Health. Sensors 20(7): 2105 (2020) - [c121]Pietro Bosoni, Marco Meccariello, Valeria Calcaterra, Cristiana Larizza, Lucia Sacchi, Riccardo Bellazzi:
Deep Learning Applied to Blood Glucose Prediction from Flash Glucose Monitoring and Fitbit Data. AIME 2020: 59-63 - [c120]John H. Holmes, Riccardo Bellazzi, Carlo Combi, Jason H. Moore, Niels Peek:
Explainable Artificial Intelligence (XAI): Current Approaches and Paths to the Future. AMIA 2020 - [c119]Giovanna Nicora, Riccardo Bellazzi:
A Reliable Machine Learning Approach applied to Single-Cell Classification in Acute Myeloid Leukemia. AMIA 2020 - [c118]Domenico Vito, Manuel Ottaviano, Riccardo Bellazzi, Cristiana Larizza, Vittorio Casella, Daniele Pala, Marica Franzini:
The PULSE Project: A Case of Use of Big Data Uses Toward a Cohomprensive Health Vision of City Well Being. ICOST 2020: 423-431
2010 – 2019
- 2019
- [j84]Rupesh K. Kesharwani, Mattia Chiesa, Riccardo Bellazzi, Gualtiero I. Colombo:
CBS-miRSeq: A comprehensive tool for accurate and extensive analyses of microRNA-sequencing data. Comput. Biol. Medicine 110: 234-243 (2019) - [j83]Natalia Viani, Timothy A. Miller, Carlo Napolitano, Silvia G. Priori, Guergana K. Savova, Riccardo Bellazzi, Lucia Sacchi:
Supervised methods to extract clinical events from cardiology reports in Italian. J. Biomed. Informatics 95 (2019) - [j82]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) - [c117]Giovanna Nicora, Simone Marini, Ivan Limongelli, Ettore Rizzo, Stefano Montoli, Francesca Floriana Tricomi, Riccardo Bellazzi:
A Semi-supervised Learning Approach for Pan-Cancer Somatic Genomic Variant Classification. AIME 2019: 42-46 - [c116]Daniele Pala, John H. Holmes, José Pagán, Enea Parimbelli, Marica Teresa Rocca, Vittorio Casella, Riccardo Bellazzi:
Agent-Based Models and Spatial Enablement: A Simulation Tool to Improve Health and Wellbeing in Big Cities. AIME 2019: 79-83 - [c115]Giovanna Nicora, Ivan Limongelli, Riccardo Cova, Matteo Giovanni Della Porta, Luca Malcovati, Mario Cazzola, Riccardo Bellazzi:
A Rule-Based Expert System for Automatic Implementation of Somatic Variant Clinical Interpretation Guidelines. AIME 2019: 114-119 - [c114]Awad Alsaid Alyousef, Svetlana I. Nihtyanova, Christopher P. Denton, Pietro Bosoni, Riccardo Bellazzi, Allan Tucker:
Latent Class Multi-Label Classification to Identify Subclasses of Disease for Improved Prediction. CBMS 2019: 535-538 - [c113]Matteo Gabetta, Marco Mirabelli, Catherine Klersy, Valeria Musella, Gianpiero Rizzo, Paolo Pedrazzoli, Nicola Barbarini, Riccardo Bellazzi, Cristiana Larizza:
An Extension of the i2b2 Data Warehouse to Support REDCap Dynamic Data Pull. EFMI-STC 2019: 21-25 - [c112]Joyce Pebesma, Antonio Martinez-Millana, Lucia Sacchi, Carlos Fernández-Llatas, Pasquale De Cata, Luca Chiovato, Riccardo Bellazzi, Vicente Traver:
Clustering Cardiovascular Risk Trajectories of Patients with Type 2 Diabetes Using Process Mining. EMBC 2019: 341-344 - [c111]Riccardo Bellazzi, Alessandro Aldo Caldarone, Daniele Pala, Marica Franzini, Alberto Malovini, Cristiana Larizza, Vittorio Casella:
Transfer Learning for Urban Landscape Clustering and Correlation with Health Indexes. ICOST 2019: 143-153 - [c110]Lorenzo Chiudinelli, Matteo Gabetta, G. Centorrino, Natalia Viani, Cristina Tasca, Alberto Zambelli, Mauro Bucalo, Arianna Ghirardi, Nicola Barbarini, Eleonora Sfreddo, Carlo Tondini, Riccardo Bellazzi, Lucia Sacchi:
Ontology-Driven Real World Evidence Extraction from Clinical Narratives. MedInfo 2019: 1441-1442 - 2018
- [j81]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) - [j80]Natalia Viani, Cristiana Larizza, Valentina Tibollo, Carlo Napolitano, Silvia G. Priori, Riccardo Bellazzi, Lucia Sacchi:
Information extraction from Italian medical reports: An ontology-driven approach. Int. J. Medical Informatics 111: 140-148 (2018) - [j79]Enea Parimbelli, B. Bottalico, Eleonora Losiouk, M. Tomasi, Amedeo Santosuosso, Giordano Lanzola, Silvana Quaglini, Riccardo Bellazzi:
Trusting telemedicine: A discussion on risks, safety, legal implications and liability of involved stakeholders. Int. J. Medical Informatics 112: 90-98 (2018) - [j78]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) - [j77]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) - [j76]Enea Parimbelli, Simone Marini, Lucia Sacchi, Riccardo Bellazzi:
Patient similarity for precision medicine: A systematic review. J. Biomed. Informatics 83: 87-96 (2018) - [j75]Awad Alsaid Alyousef, Svetlana I. Nihtyanova, Christopher P. Denton, Pietro Bosoni, Riccardo Bellazzi, Allan Tucker:
Nearest Consensus Clustering Classification to Identify Subclasses and Predict Disease. J. Heal. Informatics Res. 2(4): 402-422 (2018) - [c109]Enea Parimbelli, Daniele Pala, Riccardo Bellazzi, Cecilia Vera-Mñnoz, Vittorio Casella:
Integrating Environmental Data, Citizen Science and Personalized Predictive Modeling to Support Public Health in Cities: The PULSE WebGIS. AAAI Workshops 2018: 495-498 - [c108]Leila Yousefi, Allan Tucker, Mashael Al-Luhaybi, Lucia Sacchi, Riccardo Bellazzi, Luca Chiovato:
Predicting Disease Complications Using a Stepwise Hidden Variable Approach for Learning Dynamic Bayesian Networks. CBMS 2018: 106-111 - [c107]Elisa Salvi, Lucia Sacchi, Alexandra Madè, Valeria Calcaterra, Riccardo Bellazzi, Cristiana Larizza:
AID-GM: An Advanced System Supporting Continuous Monitoring of T1DM Patients. MIE 2018: 616-620 - [c106]Natalia Viani, Lorenzo Chiudinelli, Cristina Tasca, Alberto Zambelli, Mauro Bucalo, Arianna Ghirardi, Nicola Barbarini, Eleonora Sfreddo, Lucia Sacchi, Carlo Tondini, Riccardo Bellazzi:
Automatic Processing of Anatomic Pathology Reports in the Italian Language to Enhance the Reuse of Clinical Data. MIE 2018: 715-719 - 2017
- [j74]John H. Holmes, Lucia Sacchi, Riccardo Bellazzi, Niels Peek:
Artificial Intelligence in Medicine AIME 2015. Artif. Intell. Medicine 81: 1-2 (2017) - [j73]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) - [c105]Elisabetta Sauta, Andrea Demartini, Francesca Vitali, Alberto Riva, Riccardo Bellazzi:
Data Fusion Approach for Learning Transcriptional Bayesian Networks. AIME 2017: 76-80 - [c104]Natalia Viani, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Carlo Napolitano, Silvia G. Priori, Riccardo Bellazzi, Lucia Sacchi, Guergana K. Savova:
Recurrent Neural Network Architectures for Event Extraction from Italian Medical Reports. AIME 2017: 198-202 - [c103]Leila Yousefi, Lucia Sacchi, Riccardo Bellazzi, Luca Chiovato, Allan Tucker:
Predicting Comorbidities Using Resampling and Dynamic Bayesian Networks with Latent Variables. CBMS 2017: 205-206 - [c102]Natalia Viani, Lucia Sacchi, Valentina Tibollo, Carlo Napolitano, Silvia G. Priori, Riccardo Bellazzi:
Clinical timelines development from textual medical reports in Italian. RTSI 2017: 1-5 - [i5]Danila Vella, Simone Marini, Francesca Vitali, Riccardo Bellazzi:
MTopGO: a tool for module identification in PPI Networks. PeerJ Prepr. 5: e3229 (2017) - [i4]Danila Vella, Allan Tucker, Riccardo Bellazzi:
Stability analysis of MTopGO for module identification in PPI networks. PeerJ Prepr. 5: e3289 (2017) - [i3]Valentina Tibollo, Mauro Bucalo, Danila Vella, Morena Stuppia, Nicola Barbarini, Riccardo Bellazzi:
Procedure to integrate i2b2 and REDCap: a case study at ICSM. PeerJ Prepr. 5: e3294 (2017) - 2016
- [j72]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, Gustavo Stolovitzky, Carl Kingsford:
A computational method for designing diverse linear epitopes including citrullinated peptides with desired binding affinities to intravenous immunoglobulin. BMC Bioinform. 17: 155 (2016) - [j71]Elsa D. Angelini, Riccardo Bellazzi, Walter G. Besio, Marius George Linguraru:
Guest Editorial IEEE EMBC 2015. IEEE J. Biomed. Health Informatics 20(5): 1215 (2016) - [c101]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 - [c100]Natalia Viani, Valentina Tibollo, Carlo Napolitano, Silvia G. Priori, Riccardo Bellazzi, Cristiana Larizza, Lucia Sacchi:
Information Extraction from Italian medical reports: first steps towards clinical timelines development. AMIA 2016 - [c99]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 - [c98]Pietro Bosoni, Allan Tucker, Riccardo Bellazzi, Svetlana I. Nihtyanova, Christopher P. Denton:
Combining Unsupervised and Supervised Learning for Discovering Disease Subclasses. CBMS 2016: 225-226 - [c97]Sonia Difrancesco, Paolo Fraccaro, Sabine van der Veer, Bader Alshoumr, John D. Ainsworth, Riccardo Bellazzi, Niels Peek:
Out-of-Home Activity Recognition from GPS Data in Schizophrenic Patients. CBMS 2016: 324-328 - [c96]Giovanni Magenes, Riccardo Bellazzi, Alberto Malovini, Maria G. Signorini:
Comparison of data mining techniques applied to fetal heart rate parameters for the early identification of IUGR fetuses. EMBC 2016: 916-919 - [c95]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 - [c94]Matteo Gabetta, Alberto Malovini, Mauro Bucalo, Elisa Zini, Valentina Tibollo, Silvia G. Priori, Simone Vettoretti, Cristiana Larizza, Riccardo Bellazzi, Nicola Barbarini:
Beyond Cohort Selection: An Analytics-Enabled i2b2. MIE 2016: 572-576 - 2015
- [j70]Niels Peek, Carlo Combi, Roque Marín, Riccardo Bellazzi:
Thirty years of artificial intelligence in medicine (AIME) conferences: A review of research themes. Artif. Intell. Medicine 65(1): 61-73 (2015) - [j69]Ivan Limongelli, Simone Marini, Riccardo Bellazzi:
PaPI: pseudo amino acid composition to score human protein-coding variants. BMC Bioinform. 16: 123:1-123:14 (2015) - [j68]Matteo Gabetta, Ivan Limongelli, Ettore Rizzo, Alberto Riva, Daniele Segagni, Riccardo Bellazzi:
BigQ: a NoSQL based framework to handle genomic variants in i2b2. BMC Bioinform. 16: 415:1-415:11 (2015) - [j67]Lucia Sacchi, Davide Capozzi, Riccardo Bellazzi, Cristiana Larizza:
JTSA: An open source framework for time series abstractions. Comput. Methods Programs Biomed. 121(3): 175-188 (2015) - [j66]Cristina Altomare, Raffaella Guglielmann, Marco Riboldi, Riccardo Bellazzi, Guido Baroni:
Optimal marker placement in hadrontherapy: Intelligent optimization strategies with augmented Lagrangian pattern search. J. Biomed. Informatics 53: 65-72 (2015) - [j65]Andrea Marinoni, Ettore Rizzo, Ivan Limongelli, Paolo Gamba, Riccardo Bellazzi:
A kinetic model-based algorithm to classify NGS short reads by their allele origin. J. Biomed. Informatics 53: 121-127 (2015) - [j64]Simone Marini, Emanuele Trifoglio, Nicola Barbarini, Francesco Sambo, Barbara Di Camillo, Alberto Malovini, Marco Manfrini, Claudio Cobelli, Riccardo Bellazzi:
A Dynamic Bayesian Network model for long-term simulation of clinical complications in type 1 diabetes. J. Biomed. Informatics 57: 369-376 (2015) - [j63]Giordano Lanzola, Chiara Toffanin, Federico Di Palma, Simone Del Favero, Lalo Magni, Riccardo Bellazzi:
Designing an artificial pancreas architecture: the AP@home experience. Medical Biol. Eng. Comput. 53(12): 1271-1283 (2015) - [c93]Simone Marini, Ivan Limongelli, Ettore Rizzo, Tan Da, Riccardo Bellazzi:
A Genomic Data Fusion Framework to Exploit Rare and Common Variants for Association Discovery. AIME 2015: 101-105 - [c92]Enea Parimbelli, Silvana Quaglini, Riccardo Bellazzi, John H. Holmes:
Collaborative Filtering for Estimating Health Related Utilities in Decision Support Systems. AIME 2015: 106-110 - [c91]Andrea Demartini, Davide Capozzi, Alberto Malovini, Riccardo Bellazzi:
Running Genome Wide Data Analysis Using a Parallel Approach on a Cloud Platform. AIME 2015: 188-192 - [c90]Camilla Colombo, Jan Hendrik Leopold, Lieuwe D. J. Bos, Riccardo Bellazzi, Ameen Abu-Hanna:
Comparison of Probabilistic versus Non-probabilistic Electronic Nose Classification Methods in an Animal Model. AIME 2015: 298-303 - [c89]Guillermo López-Campos, Riccardo Bellazzi, Fernando Martín-Sánchez:
Exposome, Health and Biomedical Informatics - An Emerging Discipline and Its Interaction with Current Biomedical Informatics. HEALTHINF 2015: 580-584 - [c88]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 - [c87]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 - [c86]Anna Alloni, Giordano Lanzola, Fabio M. Triulzi, Riccardo Bellazzi, Gianluigi Reni:
A collaborative environment for shared classification of neuroimages: The experience of the Colibri project. EMBC 2015: 4306-4309 - [c85]Antonio Martinez-Millana, Carlos Fernández-Llatas, Lucia Sacchi, Daniele Segagni, Sergio Guillén, Riccardo Bellazzi, Vicente Traver:
From data to the decision: A software architecture to integrate predictive modelling in clinical settings. EMBC 2015: 8161-8164 - [c84]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 - [c83]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 - [c82]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 - [e2]John H. Holmes, Riccardo Bellazzi, Lucia Sacchi, Niels Peek:
Artificial Intelligence in Medicine - 15th Conference on Artificial Intelligence in Medicine, AIME 2015, Pavia, Italy, June 17-20, 2015. Proceedings. Lecture Notes in Computer Science 9105, Springer 2015, ISBN 978-3-319-19550-6 [contents] - 2014
- [j62]Fernando Martín-Sánchez, Kathleen Gray, Riccardo Bellazzi, Guillermo López-Campos:
Exposome informatics: considerations for the design of future biomedical research information systems. J. Am. Medical Informatics Assoc. 21(3): 386-390 (2014) - [c81]Enea Parimbelli, Silvana Quaglini, Carlo Napolitano, Silvia G. Priori, Riccardo Bellazzi, John H. Holmes:
Use of Patient Generated Data from Social Media and Collaborative Filtering for Preferences Elicitation in Shared Decision Making. AAAI Fall Symposia 2014 - [c80]Shawn N. Murphy, Riccardo Bellazzi, Matteo Gabetta, Paul Avillach, Lori C. Phillips:
Handling Clinical and Next Generation Sequencing data: new strategies in i2b2 and tranSMART. AMIA 2014 - [c79]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 - [c78]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 - [c77]Cristina Altomare, Giordano Lanzola, Riccardo Bellazzi, Gianluigi Reni:
The Colibri project: A multicenter shared database of magnetic resonance images about rare neurological diseases. BHI 2014: 400-403 - [c76]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 - [c75]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 - [c74]