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2020 – today
- 2024
- [j30]Mor Peleg, Nicole Veggiotti, Lucia Sacchi, Szymon Wilk:
How can we reward you? A compliance and reward ontology (CaRO) for eliciting quantitative reward rules for engagement in mHealth app and healthy behaviors. J. Biomed. Informatics 154: 104655 (2024) - [c67]Lucia Sacchi, Gabriella Balestra, Pierangelo Veltri, Mauro Giacomini:
Education in Health Informatics: Perspectives from the Italian Society for Biomedical Informatics (SIBIM). pHealth 2024: 187-191 - [i1]Aneta Lisowska, Szymon Wilk, Laura Locati, Mimma Rizzo, Lucia Sacchi, Silvana Quaglini, Matteo Terzaghi, Valentina Tibollo, Mor Peleg:
Defining Effective Engagement For Enhancing Cancer Patients' Well-being with Mobile Digital Behavior Change Interventions. CoRR abs/2403.12007 (2024) - 2023
- [e4]Mauro Giacomini, Lacramioara Stoicu-Tivadar, Gabriella Balestra, Arriel Benis, Stefano Bonacina, Alessio Bottrighi, Thomas M. Deserno, Parisis Gallos, Lenka Lhotská, Sara Marceglia, Alejandro C. Pazos Sierra, Samanta Rosati, Lucia Sacchi:
Telehealth Ecosystems in Practice - Proceedings of the EFMI Special Topic Conference 2023, EFMI-STC 2023, Turin, Italy, 25 - 27 October 2023. Studies in Health Technology and Informatics 309, IOS Press 2023, ISBN 978-1-64368-450-5 [contents] - 2022
- [j29]Jorge Munoz-Gama, Niels Martin, Carlos Fernández-Llatas, Owen A. Johnson, Marcos Sepúlveda, Emmanuel Helm, Victor Galvez-Yanjari, Eric Rojas, Antonio Martinez-Millana, Davide Aloini, Ilaria Angela Amantea, Robert Andrews, Michael Arias, Iris Beerepoot, Elisabetta Benevento, Andrea Burattin, Daniel Capurro, Josep Carmona, Marco Comuzzi, Benjamin Dalmas, Rene de la Fuente, Chiara Di Francescomarino, Claudio Di Ciccio, Roberto Gatta, Chiara Ghidini, Fernanda Gonzalez-Lopez, Gema Ibáñez-Sánchez, Hilda B. Klasky, Angelina Prima Kurniati, Xixi Lu, Felix Mannhardt, Ronny Mans, Mar Marcos, Renata Medeiros de Carvalho, Marco Pegoraro, Simon K. Poon, Luise Pufahl, Hajo A. Reijers, Simon Remy, Stefanie Rinderle-Ma, Lucia Sacchi, Fernando Seoane, Minseok Song, Alessandro Stefanini, Emilio Sulis, Arthur H. M. ter Hofstede, Pieter J. Toussaint, Vicente Traver, Zoe Valero-Ramon, Inge van de Weerd, Wil M. P. van der Aalst, Rob J. B. Vanwersch, Mathias Weske, Moe Thandar Wynn, Francesca Zerbato:
Process mining for healthcare: Characteristics and challenges. J. Biomed. Informatics 127: 103994 (2022) - [c66]Sara Marceglia, Gabriella Balestra, Alessio Bottrighi, Mauro Giacomini, Pierangelo Veltri, Lucia Sacchi:
Developing the Digital Healthcare Workforce in Italy: The SIBIM Experience. EFMI-STC 2022: 46-50 - [c65]Lucia Sacchi, Nicole Veggiotti, Emanuele Girani, Valentina Tibollo, Silvana Quaglini:
Personalising Symptoms Reporting in Telemonitoring Applications for Cancer Patients. MIE 2022: 900-904 - [e3]Brigitte Séroussi, Patrick Weber, Ferdinand Dhombres, Cyril Grouin, Jan-David Liebe, Sylvia Pelayo, Andrea Pinna, Bastien Rance, Lucia Sacchi, Adrien Ugon, Arriel Benis, Parisis Gallos:
Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022, Medical Informatics Europe, Nice, France, May 27-30, 2022. Studies in Health Technology and Informatics 294, IOS Press 2022, ISBN 978-1-64368-284-6 [contents] - 2021
- [c64]Marco Cotogni, Lucia Sacchi, Dejan Georgiev, Aleksander Sadikov:
Detection of Parkinson's Disease Early Progressors Using Routine Clinical Predictors. AIME 2021: 163-167 - [c63]Alessia Gerbasi, Vida Groznik, Dejan Georgiev, Lucia Sacchi, Aleksander Sadikov:
Detecting Mild Cognitive Impairment Using Smooth Pursuit and a Modified Corsi Task. AIME 2021: 168-172 - [c62]Enea Parimbelli, Matteo Gabetta, Giordano Lanzola, Francesca Polce, Szymon Wilk, David Glasspool, Alexandra Kogan, Roy Leizer, Vitali Gisko, Nicole Veggiotti, Silvia Panzarasa, Rowdy de Groot, Manuel Ottaviano, Lucia Sacchi, Ronald Cornet, Mor Peleg, Silvana Quaglini:
CAncer PAtients Better Life Experience (CAPABLE) First Proof-of-Concept Demonstration. AIME 2021: 298-303 - [c61]Nicole Veggiotti, Lucia Sacchi, Mor Peleg:
Enhancing the IDEAS Framework with Ontology: Designing Digital Interventions for Improving Cancer Patients' Wellbeing. AMIA 2021 - [c60]Emanuele Girani, Matteo Gabetta, Anna Alloni, Morena Stuppia, Lucia Sacchi, Nicola Barbarini:
Automatic Data Transfer from OMOP-CDM to REDCap: A Semantically-Enriched Framework. EFMI-STC 2021: 30-31 - [c59]Mehrshad Mokhtaran, Lucia Sacchi, Valentina Tibollo, Irene Risi, Vittoria Ramella, Silvana Quaglini, Francesco Fanfulla:
Obstructive Sleep Apnea Home-Monitoring Using a Commercial Wearable Device. MedInfo 2021: 522-525 - [c58]T. M. Buonocore, Enea Parimbelli, Lucia Sacchi, Roberto Bellazzi, L. del Campo, Silvana Quaglini:
Improving Keyword-Based Topic Classification in Cancer Patient Forums with Multilingual Transformers. MedInfo 2021: 597-601 - 2020
- [j28]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) - [j27]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) - [j26]Giordano Lanzola, Riccardo Bagarotti, Lucia Sacchi, Elisa Salvi, Anna Alloni, Michela Picardi, Irma Sterpi, Rosangela Boninsegna, Massimo Corbo, Silvana Quaglini:
Bringing spatiotemporal gait analysis into clinical practice: Instrument validation and pilot study of a commercial sensorized carpet. Comput. Methods Programs Biomed. 188: 105292 (2020) - [j25]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) - [c57]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 - [c56]Elisa Salvi, Irma Sterpi, Antonio Caronni, Peppino Tropea, Michela Picardi, Massimo Corbo, Giordano Lanzola, Silvana Quaglini, Lucia Sacchi:
Comparison of Models for Predicting the Risk of Falling in the Non-hospitalized Elderly and Evaluation of Their Performances on an Italian Population. HEALTHINF 2020: 718-723 - [c55]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
- [j24]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) - [j23]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) - [c54]Elisa Salvi, Enea Parimbelli, Lucia Sacchi, Silvana Quaglini, Erika Maggi, Lorry Duchoud, Gian Luca Armas, John De Almeida, Christian Simon:
Towards the Economic Evaluation of Two Mini-invasive Surgical Techniques for Head&Neck Cancer: A Customizable Model for Different Populations. AIME 2019: 155-159 - [c53]Elisa Salvi, Silvia Panzarasa, Riccardo Bagarotti, Michela Picardi, Rosangela Boninsegna, Irma Sterpi, Massimo Corbo, Giordano Lanzola, Silvana Quaglini, Lucia Sacchi:
NONCADO: A System to Prevent Falls by Encouraging Healthy Habits in Elderly People. AIME 2019: 227-232 - [c52]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 - [c51]Roberto Gatta, Mauro Vallati, Carlos Fernández-Llatas, Antonio Martinez-Millana, Stefania Orini, Lucia Sacchi, Jacopo Lenkowicz, Mar Marcos, Jorge Munoz-Gama, Michel A. Cuendet, Berardino De Bari, Luis Marco-Ruiz, Alessandro Stefanini, Maurizio Castellano:
Clinical Guidelines: A Crossroad of Many Research Areas. Challenges and Opportunities in Process Mining for Healthcare. Business Process Management Workshops 2019: 545-556 - [c50]Leila Yousefi, Stephen Swift, Mahir Arzoky, Lucia Sacchi, Luca Chiovato, Allan Tucker:
Opening the Black Box: Exploring Temporal Pattern of Type 2 Diabetes Complications in Patient Clustering Using Association Rules and Hidden Variable Discovery. CBMS 2019: 198-203 - [c49]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 - [c48]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 - [c47]Elisa Salvi, Giordano Lanzola, Silvana Quaglini, Silvia Panzarasa, Riccardo Bagarotti, Laura Rodi, Cristiana Larizza, Lucia Sacchi:
Permutation Entropy Applied to Fitbit Data: Long-Term Sleep Analysis on One Healthy Subject. pHealth 2019: 156-161 - 2018
- [j22]Annette ten Teije, Christian Popow, John H. Holmes, Lucia Sacchi:
Preface: AIME 2017. Artif. Intell. Medicine 91: 1-2 (2018) - [j21]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) - [j20]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) - [j19]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) - [j18]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) - [j17]Enea Parimbelli, Simone Marini, Lucia Sacchi, Riccardo Bellazzi:
Patient similarity for precision medicine: A systematic review. J. Biomed. Informatics 83: 87-96 (2018) - [c46]Leila Yousefi, Stephen Swift, Mahir Arzoky, Lucia Sacchi, Luca Chiovato, Allan Tucker:
Opening the Black Box: Discovering and Explaining Hidden Variables in Type 2 Diabetic Patient Modelling. BIBM 2018: 1040-1044 - [c45]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 - [c44]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 - [c43]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 - [c42]Riccardo Bagarotti, Elisa Maria Zini, Elisa Salvi, Lucia Sacchi, Silvana Quaglini, Giordano Lanzola:
An Algorithm for Estimating Gait Parameters Through a Commercial Sensorized Carpet. RTSI 2018: 1-6 - 2017
- [j16]John H. Holmes, Lucia Sacchi, Riccardo Bellazzi, Niels Peek:
Artificial Intelligence in Medicine AIME 2015. Artif. Intell. Medicine 81: 1-2 (2017) - [j15]Mor Peleg, Yuval Shahar, Silvana Quaglini, Tom H. F. Broens, Roxana Ioana Budasu, Nick Lik San Fung, Adi Fux, Gema García-Sáez, Ayelet Goldstein, Arturo González-Ferrer, Hermie Hermens, M. Elena Hernando, Val Jones, Guy Klebanov, Denis Klimov, Daniel Knoppel, Nekane Larburu, Carlos Marcos Lagunar, Iñaki Martínez-Sarriegui, Carlo Napolitano, Angels Pallàs, Angel Palomares, Enea Parimbelli, Belén Pons, Mercedes Rigla, Lucia Sacchi, Erez Shalom, Pnina Soffer, Boris W. van Schooten:
Assessment of a personalized and distributed patient guidance system. Int. J. Medical Informatics 101: 108-130 (2017) - [j14]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) - [j13]Mor Peleg, Yuval Shahar, Silvana Quaglini, Adi Fux, Gema García-Sáez, Ayelet Goldstein, M. Elena Hernando, Denis Klimov, Iñaki Martínez-Sarriegui, Carlo Napolitano, Enea Parimbelli, Mercedes Rigla, Lucia Sacchi, Erez Shalom, Pnina Soffer:
MobiGuide: a personalized and patient-centric decision-support system and its evaluation in the atrial fibrillation and gestational diabetes domains. User Model. User Adapt. Interact. 27(2): 159-213 (2017) - [c41]Elisa Salvi, Enea Parimbelli, Alessia Basadonne, Natalia Viani, Anna Cavallini, Giuseppe Micieli, Silvana Quaglini, Lucia Sacchi:
Exploring IBM Watson to Extract Meaningful Information from the List of References of a Clinical Practice Guideline. AIME 2017: 193-197 - [c40]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 - [c39]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 - [c38]Elisa Salvi, Enea Parimbelli, Gladys Emalieu, Silvana Quaglini, Lucia Sacchi:
A Platform for Targeting Cost-Utility Analyses to Specific Populations. AIME 2017: 361-365 - [c37]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 - [c36]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 - [c35]Lilian Mie Mukai Cintho, Diego Garcia, Bruno Henrique da Silva Santos, Lucia Sacchi, Silvana Quaglini, Claudia Maria Cabral Moro:
Exploiting Temporal Constraints of Clinical Guidelines by Applying OpenEHR Archetypes. MedInfo 2017: 1322 - [c34]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 - [e2]Annette ten Teije, Christian Popow, John H. Holmes, Lucia Sacchi:
Artificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017, Proceedings. Lecture Notes in Computer Science 10259, Springer 2017, ISBN 978-3-319-59757-7 [contents] - 2016
- [c33]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 - [c32]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 - [c31]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 - [c30]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 - [c29]Enea Parimbelli, Lucia Sacchi, Roxana Ioana Budasu, Carlo Napolitano, Mor Peleg, Silvana Quaglini:
The Role of Nurses in E-Health: The MobiGuide Project Experience. Nursing Informatics 2016: 153-157 - 2015
- [j12]Lucia Sacchi, Stefania Rubrichi, Carla Rognoni, Silvia Panzarasa, Enea Parimbelli, Andrea Mazzanti, Carlo Napolitano, Silvia G. Priori, Silvana Quaglini:
From decision to shared-decision: Introducing patients' preferences into clinical decision analysis. Artif. Intell. Medicine 65(1): 19-28 (2015) - [j11]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) - [c28]Lucia Sacchi, Enea Parimbelli, Silvia Panzarasa, Natalia Viani, Elena Rizzo, Carlo Napolitano, Roxana Ioana Budasu, Silvana Quaglini:
Combining Decision Support System-Generated Recommendations with Interactive Guideline Visualization for Better Informed Decisions. AIME 2015: 337-341 - [c27]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 - [c26]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 - [c25]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 - [c24]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 - [c23]Paolo Federico, Jürgen Unger, Albert Amor-Amoros, Lucia Sacchi, Denis Klimov, Silvia Miksch:
Gnaeus: Utilizing Clinical Guidelines for Knowledge-assisted Visualisation of EHR Cohorts. EuroVA@EuroVis 2015: 79-83 - [e1]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
- [j10]Lucia Sacchi, Allan Tucker, Steve Counsell, David Garway-Heath, Stephen Swift:
Improving predictive models of glaucoma severity by incorporating quality indicators. Artif. Intell. Medicine 60(2): 103-112 (2014) - [j9]Paolo Cremaschi, Sergio Rovida, Lucia Sacchi, Antonella Lisa, Francesca Calvi, Alessandra Montecucco, Giuseppe Biamonti, Silvia Bione, Gianni Sacchi:
CorrelaGenes: a new tool for the interpretation of the human transcriptome. BMC Bioinform. 15(S-1): S6 (2014) - [c22]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 - [c21]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 - [c20]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 - [c19]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 - [c18]Erez Shalom, Yuval Shahar, Ayelet Goldstein, Elior Ariel, Silvana Quaglini, Lucia Sacchi, Nick Lik San Fung, Valerie M. Jones, Tom H. F. Broens, Gema García-Sáez, M. Elena Hernando:
Enhancing Guideline-Based Decision Support with Distributed Computation Through Local Mobile Application. Business Process Management Workshops 2014: 53-58 - 2013
- [c17]Lucia Sacchi, Carla Rognoni, Stefania Rubrichi, Silvia Panzarasa, Silvana Quaglini:
From Decision to Shared-Decision: Introducing Patients' Preferences in Clinical Decision Analysis - A Case Study in Thromboembolic Risk Prevention. AIME 2013: 1-10 - [c16]Silvana Quaglini, Yuval Shahar, Mor Peleg, Silvia Miksch, Carlo Napolitano, Mercedes Rigla, Angels Pallàs, Enea Parimbelli, Lucia Sacchi:
Supporting Shared Decision Making within the MobiGuide Project. AMIA 2013 - [c15]Lucia Sacchi, Daniele Segagni, Arianna Dagliati, Alberto Zambelli, Riccardo Bellazzi:
Mining Careflow Patterns in data warehouses of breast cancer patients. AMIA 2013 - [c14]Lucia Sacchi, Adi Fux, Carlo Napolitano, Silvia Panzarasa, Mor Peleg, Silvana Quaglini, Erez Shalom, Pnina Soffer, Paolo Tormene:
Patient-tailored Workflow Patterns from Clinical Practice Guidelines Recommendations. MedInfo 2013: 392-396 - 2012
- [j8]Riccardo Bellazzi, Lucia Sacchi, Ezio Caffi, Amedeo de Vincenzi, Maurizio Nai, Francesco Manicone, Cristiana Larizza, Roberto Bellazzi:
Implementation of an automated system for monitoring adherence to hemodialysis treatment: A report of seven years of experience. Int. J. Medical Informatics 81(5): 320-331 (2012) - 2011
- [j7]Riccardo Bellazzi, Fulvia Ferrazzi, Lucia Sacchi:
Predictive data mining in clinical medicine: a focus on selected methods and applications. WIREs Data Mining Knowl. Discov. 1(5): 416-430 (2011) - 2010
- [c13]Silvia Panzarasa, Silvana Quaglini, Lucia Sacchi, Anna Cavallini, Giuseppe Micieli, Mario Stefanelli:
Data mining techniques for analyzing stroke care processes. MedInfo 2010: 939-943 - [c12]Lucia Sacchi, Giuseppe D'Ancona, Federico Bertuzzi, Riccardo Bellazzi:
Temporal Clustering for Blood Glucose Analysis in the ICU: Identification of Groups of Patients with Different Risk Profile. MedInfo 2010: 1150-1154
2000 – 2009
- 2009
- [c11]Stefano Concaro, Lucia Sacchi, Carlo Cerra, Pietro Fratino, Riccardo Bellazzi:
Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment for a Practical Use. AIME 2009: 16-25 - [c10]Paloma Chausa, César Cáceres, Lucia Sacchi, Agathe León, Felipe García, Riccardo Bellazzi, Enrique J. Gómez:
Temporal Data Mining of HIV Registries: Results from a 25 Years Follow-Up. AIME 2009: 56-60 - [c9]Iyad Batal, Lucia Sacchi, Riccardo Bellazzi, Milos Hauskrecht:
A Temporal Abstraction Framework for Classifying Clinical Temporal Data. AMIA 2009 - [c8]Stefano Concaro, Lucia Sacchi, Carlo Cerra, Mario Stefanelli, Pietro Fratino, Riccardo Bellazzi:
Temporal Data Mining for the Assessment of the Costs Related to Diabetes Mellitus Pharmacological Treatment. AMIA 2009 - [c7]Iyad Batal, Lucia Sacchi, Riccardo Bellazzi, Milos Hauskrecht:
Multivariate Time Series Classification with Temporal Abstractions. FLAIRS 2009 - [c6]Stefano Concaro, Lucia Sacchi, Carlo Cerra, Riccardo Bellazzi:
Mining Administrative and Clinical Diabetes Data with Temporal Association Rules. MIE 2009: 574-578 - 2008
- [j6]Paolo Magni, Fulvia Ferrazzi, Lucia Sacchi, Riccardo Bellazzi:
TimeClust: a clustering tool for gene expression time series. Bioinform. 24(3): 430-432 (2008) - 2007
- [j5]Marion Verduijn, Lucia Sacchi, Niels Peek, Riccardo Bellazzi, Evert de Jonge, Bas A. de Mol:
Temporal abstraction for feature extraction: A comparative case study in prediction from intensive care monitoring data. Artif. Intell. Medicine 41(1): 1-12 (2007) - [j4]Lucia Sacchi, Cristiana Larizza, Carlo Combi, Riccardo Bellazzi:
Data mining with Temporal Abstractions: learning rules from time series. Data Min. Knowl. Discov. 15(2): 217-247 (2007) - [j3]Fulvia Ferrazzi, Paolo Magni, Lucia Sacchi, Angelo Nuzzo, Uros Petrovic, Riccardo Bellazzi:
Inferring gene regulatory networks by integrating static and dynamic data. Int. J. Medical Informatics 76(S3): S462-S475 (2007) - [j2]Lucia Sacchi, Cristiana Larizza, Paolo Magni, Riccardo Bellazzi:
Precedence Temporal Networks to represent temporal relationships in gene expression data. J. Biomed. Informatics 40(6): 761-774 (2007) - 2006
- [c5]Fulvia Ferrazzi, Paolo Magni, Lucia Sacchi, Riccardo Bellazzi:
Inferring gene expression networks via static and dynamic data integration. MIE 2006: 119-124 - 2005
- [j1]Lucia Sacchi, Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, Tomaz Curk, Uros Petrovic, Blaz Zupan:
TA-clustering: Cluster analysis of gene expression profiles through Temporal Abstractions. Int. J. Medical Informatics 74(7-8): 505-517 (2005) - [c4]Lucia Sacchi, Riccardo Bellazzi, Cristiana Larizza, Riccardo Porreca, Paolo Magni:
Learning Rules with Complex Temporal Patterns in Biomedical Domains. AIME 2005: 23-32 - [c3]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 - [c2]Lucia Sacchi, Riccardo Bellazzi, Riccardo Porreca, Cristiana Larizza, Paolo Magni:
Precedence Temporal Networks from Gene Expression Data. CBMS 2005: 109-114 - 2004
- [c1]Lucia Sacchi, Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, Tomaz Curk, Uros Petrovic, Blaz Zupan:
Clustering gene expression data with Temporal Abstractions. MedInfo 2004: 798-802
Coauthor Index
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