Lucia Sacchi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
34
Venues
5
Active years
2005–2026
Best venue rank
B
Where they publish
Papers
34 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AIME | Automated Pulmonary Hypertension Subtype Discrimination from CTPA Scans. | Matteo Dallera, Carlotta Pairazzi, Riccardo Bellazzi, Stefano Ghio, Adele Valentini, Lucia Sacchi |
| 2025 | AIME | Enhancing RAGs for Rheumatology Triage: Strategies for Optimized Knowledge Retrieval. | Tommaso Mario Buonocore, Emanuele Cardinale, Garifallia Sakellariou, Riccardo Bellazzi, Lucia Sacchi |
| 2025 | AIME | Clinical Outcome Measurement Scales: A Domain Ontology and a Use Case for Stroke Rehabilitation. | Lucia Sacchi, Giovanna Nicora, Irene Aprile, Silvana Quaglini |
| 2021 | AIME | Detection of Parkinson's Disease Early Progressors Using Routine Clinical Predictors. | Marco Cotogni, Lucia Sacchi, Dejan Georgiev, Aleksander Sadikov |
| 2021 | AIME | Detecting Mild Cognitive Impairment Using Smooth Pursuit and a Modified Corsi Task. | Alessia Gerbasi, Vida Groznik, Dejan Georgiev, Lucia Sacchi, Aleksander Sadikov |
| 2021 | AIME | CAncer PAtients Better Life Experience (CAPABLE) First Proof-of-Concept Demonstration. | 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 |
| 2021 | AMIA | Enhancing the IDEAS Framework with Ontology: Designing Digital Interventions for Improving Cancer Patients' Wellbeing. | Nicole Veggiotti, Lucia Sacchi, Mor Peleg |
| 2020 | AIME | Deep Learning Applied to Blood Glucose Prediction from Flash Glucose Monitoring and Fitbit Data. | Pietro Bosoni, Marco Meccariello, Valeria Calcaterra, Cristiana Larizza, Lucia Sacchi, Riccardo Bellazzi |
| 2019 | AIME | Inferring Temporal Phenotypes with Topological Data Analysis and Pseudo Time-Series. | Arianna Dagliati, Nophar Geifman, Niels Peek, John H. Holmes, Lucia Sacchi, Seyed Erfan Sajjadi, Allan Tucker |
| 2019 | AIME | NONCADO: A System to Prevent Falls by Encouraging Healthy Habits in Elderly People. | Elisa Salvi, Silvia Panzarasa, Riccardo Bagarotti, Michela Picardi, Rosangela Boninsegna, Irma Sterpi, Massimo Corbo, Giordano Lanzola, Silvana Quaglini, Lucia Sacchi |
| 2019 | AIME | Towards the Economic Evaluation of Two Mini-invasive Surgical Techniques for Head&Neck Cancer: A Customizable Model for Different Populations. | Elisa Salvi, Enea Parimbelli, Lucia Sacchi, Silvana Quaglini, Erika Maggi, Lorry Duchoud, Gian Luca Armas, John De Almeida, Christian Simon |
| 2019 | BPM | Clinical Guidelines: A Crossroad of Many Research Areas. Challenges and Opportunities in Process Mining for Healthcare. | Roberto Gatta, Mauro Vallati, Carlos Fernndez-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 |
| 2019 | CBMS | Opening the Black Box: Exploring Temporal Pattern of Type 2 Diabetes Complications in Patient Clustering Using Association Rules and Hidden Variable Discovery. | Leila Yousefi, Stephen Swift, Mahir Arzoky, Lucia Sacchi, Luca Chiovato, Allan Tucker |
| 2018 | CBMS | Predicting Disease Complications Using a Stepwise Hidden Variable Approach for Learning Dynamic Bayesian Networks. | Leila Yousefi, Allan Tucker, Mashael Al-Luhaybi, Lucia Sacchi, Riccardo Bellazzi, Luca Chiovato |
| 2017 | AIME | pMineR: An Innovative R Library for Performing Process Mining in Medicine. | Roberto Gatta, Jacopo Lenkowicz, Mauro Vallati, Eric Rojas, Andrea Damiani, Lucia Sacchi, Berardino De Bari, Arianna Dagliati, Carlos Fernndez-Llatas, Matteo Montesi, Antonio Marchetti, Maurizio Castellano, Vincenzo Valentini |
| 2017 | AIME | Exploring IBM Watson to Extract Meaningful Information from the List of References of a Clinical Practice Guideline. | Elisa Salvi, Enea Parimbelli, Alessia Basadonne, Natalia Viani, Anna Cavallini, Giuseppe Micieli, Silvana Quaglini, Lucia Sacchi |
| 2017 | AIME | A Platform for Targeting Cost-Utility Analyses to Specific Populations. | Elisa Salvi, Enea Parimbelli, Gladys Emalieu, Silvana Quaglini, Lucia Sacchi |
| 2017 | AIME | Recurrent Neural Network Architectures for Event Extraction from Italian Medical Reports. | Natalia Viani, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Carlo Napolitano, Silvia G. Priori, Riccardo Bellazzi, Lucia Sacchi, Guergana K. Savova |
| 2017 | CBMS | Predicting Comorbidities Using Resampling and Dynamic Bayesian Networks with Latent Variables. | Leila Yousefi, Lucia Sacchi, Riccardo Bellazzi, Luca Chiovato, Allan Tucker |
| 2016 | AMIA | Hierarchical Bayesian Logistic Regression to forecast metabolic control in type 2 DM patients. | Arianna Dagliati, Alberto Malovini, Pasquale De Cata, Giulia Cogni, Marsida Teliti, Lucia Sacchi, Carlo Cerra, Luca Chiovato, Riccardo Bellazzi |
| 2016 | AMIA | Information Extraction from Italian medical reports: first steps towards clinical timelines development. | Natalia Viani, Valentina Tibollo, Carlo Napolitano, Silvia G. Priori, Riccardo Bellazzi, Cristiana Larizza, Lucia Sacchi |
| 2015 | AIME | Combining Decision Support System-Generated Recommendations with Interactive Guideline Visualization for Better Informed Decisions. | Lucia Sacchi, Enea Parimbelli, Silvia Panzarasa, Natalia Viani, Elena Rizzo, Carlo Napolitano, Roxana Ioana Budasu, Silvana Quaglini |
| 2014 | BPM | Enhancing Guideline-Based Decision Support with Distributed Computation Through Local Mobile Application. | Erez Shalom, Yuval Shahar, Ayelet Goldstein, Elior Ariel, Silvana Quaglini, Lucia Sacchi, Nick Lik San Fung, Valerie M. Jones, Tom H. F. Broens, Gema Garca-Sez, M. Elena Hernando |
| 2013 | AIME | From Decision to Shared-Decision: Introducing Patients' Preferences in Clinical Decision Analysis - A Case Study in Thromboembolic Risk Prevention. | Lucia Sacchi, Carla Rognoni, Stefania Rubrichi, Silvia Panzarasa, Silvana Quaglini |
| 2013 | AMIA | Supporting Shared Decision Making within the MobiGuide Project. | Silvana Quaglini, Yuval Shahar, Mor Peleg, Silvia Miksch, Carlo Napolitano, Mercedes Rigla, Angels Palls, Enea Parimbelli, Lucia Sacchi |
| 2013 | AMIA | Mining Careflow Patterns in data warehouses of breast cancer patients. | Lucia Sacchi, Daniele Segagni, Arianna Dagliati, Alberto Zambelli, Riccardo Bellazzi |
| 2009 | AIME | Temporal Data Mining of HIV Registries: Results from a 25 Years Follow-Up. | Paloma Chausa, Csar Cceres, Lucia Sacchi, Agathe Len, Felipe Garca, Riccardo Bellazzi, Enrique J. Gmez |
| 2009 | AIME | Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment for a Practical Use. | Stefano Concaro, Lucia Sacchi, Carlo Cerra, Pietro Fratino, Riccardo Bellazzi |
| 2009 | AMIA | A Temporal Abstraction Framework for Classifying Clinical Temporal Data. | Iyad Batal, Lucia Sacchi, Riccardo Bellazzi, Milos Hauskrecht |
| 2009 | AMIA | Temporal Data Mining for the Assessment of the Costs Related to Diabetes Mellitus Pharmacological Treatment. | Stefano Concaro, Lucia Sacchi, Carlo Cerra, Mario Stefanelli, Pietro Fratino, Riccardo Bellazzi |
| 2009 | FlAIRS | Multivariate Time Series Classification with Temporal Abstractions. | Iyad Batal, Lucia Sacchi, Riccardo Bellazzi, Milos Hauskrecht |
| 2005 | AIME | Learning Rules with Complex Temporal Patterns in Biomedical Domains. | Lucia Sacchi, Riccardo Bellazzi, Cristiana Larizza, Riccardo Porreca, Paolo Magni |
| 2005 | AMIA | Comparison of two temporal abstraction procedures: a case study in prediction from monitoring data. | Marion Verduijn, Arianna Dagliati, Lucia Sacchi, Niels Peek, Riccardo Bellazzi, Evert de Jonge, Bas A. de Mol |
| 2005 | CBMS | Precedence Temporal Networks from Gene Expression Data. | Lucia Sacchi, Riccardo Bellazzi, Riccardo Porreca, Cristiana Larizza, Paolo Magni |