Clustering gene expression data with Temporal Abstractions. - Lucia Sacchi; Riccardo Bellazzi; Cristiana Larizza; Paolo Magni; Tomaz Curk; Uros Petrovic; Blaz Zupan (MedInfo, 2004)

Learning Rules with Complex Temporal Patterns in Biomedical Domains. - Lucia Sacchi; Riccardo Bellazzi; Cristiana Larizza; Riccardo Porreca; Paolo Magni (AIME, 2005)

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 (AMIA, 2005)

Precedence Temporal Networks from Gene Expression Data. - Lucia Sacchi; Riccardo Bellazzi; Riccardo Porreca; Cristiana Larizza; Paolo Magni (CBMS, 2005)

TA-clustering: Cluster analysis of gene expression profiles through Temporal Abstractions. - Lucia Sacchi; Riccardo Bellazzi; Cristiana Larizza; Paolo Magni; Tomaz Curk; Uros Petrovic; Blaz Zupan (Int. J. Medical Informatics, 2005)

Inferring gene expression networks via static and dynamic data integration. - Fulvia Ferrazzi; Paolo Magni; Lucia Sacchi; Riccardo Bellazzi (MIE, 2006)

Temporal abstraction for feature extraction: A comparative case study in prediction from intensive care monitoring data. - Marion Verduijn; Lucia Sacchi; Niels Peek; Riccardo Bellazzi; Evert de Jonge; Bas A. de Mol (Artif. Intell. Medicine, 2007)

Data mining with Temporal Abstractions: learning rules from time series. - Lucia Sacchi; Cristiana Larizza; Carlo Combi; Riccardo Bellazzi (Data Min. Knowl. Discov., 2007)

Inferring gene regulatory networks by integrating static and dynamic data. - Fulvia Ferrazzi; Paolo Magni; Lucia Sacchi; Angelo Nuzzo; Uros Petrovic; Riccardo Bellazzi (Int. J. Medical Informatics, 2007)

Precedence Temporal Networks to represent temporal relationships in gene expression data. - Lucia Sacchi; Cristiana Larizza; Paolo Magni; Riccardo Bellazzi (J. Biomed. Informatics, 2007)

TimeClust: a clustering tool for gene expression time series. - Paolo Magni; Fulvia Ferrazzi; Lucia Sacchi; Riccardo Bellazzi (Bioinform., 2008)

Temporal Data Mining of HIV Registries: Results from a 25 Years Follow-Up. - Paloma Chausa; César Cáceres; Lucia Sacchi; Agathe León; Felipe García; Riccardo Bellazzi; Enrique J. Gómez (AIME, 2009)

Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment for a Practical Use. - Stefano Concaro; Lucia Sacchi; Carlo Cerra; Pietro Fratino; Riccardo Bellazzi (AIME, 2009)

A Temporal Abstraction Framework for Classifying Clinical Temporal Data. - Iyad Batal; Lucia Sacchi; Riccardo Bellazzi; Milos Hauskrecht (AMIA, 2009)

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 (AMIA, 2009)

Multivariate Time Series Classification with Temporal Abstractions. - Iyad Batal; Lucia Sacchi; Riccardo Bellazzi; Milos Hauskrecht (FLAIRS, 2009)

Mining Administrative and Clinical Diabetes Data with Temporal Association Rules. - Stefano Concaro; Lucia Sacchi; Carlo Cerra; Riccardo Bellazzi (MIE, 2009)

Data mining techniques for analyzing stroke care processes. - Silvia Panzarasa; Silvana Quaglini; Lucia Sacchi; Anna Cavallini; Giuseppe Micieli; Mario Stefanelli (MedInfo, 2010)

Temporal Clustering for Blood Glucose Analysis in the ICU: Identification of Groups of Patients with Different Risk Profile. - Lucia Sacchi; Giuseppe D'Ancona; Federico Bertuzzi; Riccardo Bellazzi (MedInfo, 2010)

Predictive data mining in clinical medicine: a focus on selected methods and applications. - Riccardo Bellazzi; Fulvia Ferrazzi; Lucia Sacchi (WIREs Data Mining Knowl. Discov., 2011)

Implementation of an automated system for monitoring adherence to hemodialysis treatment: A report of seven years of experience. - Riccardo Bellazzi; Lucia Sacchi; Ezio Caffi; Amedeo de Vincenzi; Maurizio Nai; Francesco Manicone; Cristiana Larizza; Roberto Bellazzi (Int. J. Medical Informatics, 2012)

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 (AIME, 2013)

Supporting Shared Decision Making within the MobiGuide Project. - Silvana Quaglini; Yuval Shahar; Mor Peleg; Silvia Miksch; Carlo Napolitano; Mercedes Rigla; Angels Pallàs; Enea Parimbelli; Lucia Sacchi (AMIA, 2013)

Mining Careflow Patterns in data warehouses of breast cancer patients. - Lucia Sacchi; Daniele Segagni; Arianna Dagliati; Alberto Zambelli; Riccardo Bellazzi (AMIA, 2013)

Patient-tailored Workflow Patterns from Clinical Practice Guidelines Recommendations. - Lucia Sacchi; Adi Fux; Carlo Napolitano; Silvia Panzarasa; Mor Peleg; Silvana Quaglini; Erez Shalom; Pnina Soffer; Paolo Tormene (MedInfo, 2013)

A data gathering framework to collect Type 2 diabetes patients data. - 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; et al. (BHI, 2014)

Temporal data mining and process mining techniques to identify cardiovascular risk-associated clinical pathways in Type 2 diabetes patients. - Arianna Dagliati; Lucia Sacchi; Carlo Cerra; Paola Leporati; Pasquale De Cata; Luca Chiovato; John H. Holmes; Riccardo Bellazzi (BHI, 2014)

Temporal abstractions to enrich Activity-Based Process Mining corpus with clinical time series. - Carlos Fernández-Llatas; Lucia Sacchi; José-Miguel Benedí; Arianna Dagliati; Vicente Traver 001; Riccardo Bellazzi (BHI, 2014)

A proposal of architecture to share patients data out of healthcare settings for research purposes. - Liss Hernández; Jorge Onieva; Giuseppe Fico; Jorge Cancela; Arianna Dagliati; Mauro Bucalo; Lucia Sacchi; Riccardo Bellazzi; María Teresa Arredondo (BHI, 2014)

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 García-Sáez; M. Elena Hernando (Business Process Management Workshops, 2014)

Improving predictive models of glaucoma severity by incorporating quality indicators. - Lucia Sacchi; Allan Tucker; Steve Counsell; David Garway-Heath; Stephen Swift (Artif. Intell. Medicine, 2014)

CorrelaGenes: a new tool for the interpretation of the human transcriptome. - Paolo Cremaschi; Sergio Rovida; Lucia Sacchi; Antonella Lisa; Francesca Calvi; Alessandra Montecucco; Giuseppe Biamonti; Silvia Bione; Gianni Sacchi (BMC Bioinform., 2014)

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 (AIME, 2015)

From data to the decision: A software architecture to integrate predictive modelling in clinical settings. - Antonio Martinez-Millana; Carlos Fernández-Llatas; Lucia Sacchi; Daniele Segagni; Sergio Guillén; Riccardo Bellazzi; Vicente Traver 001 (EMBC, 2015)

Improving risk-stratification of Diabetes complications using temporal data mining. - Lucia Sacchi; Arianna Dagliati; Daniele Segagni; Paola Leporati; Luca Chiovato; Riccardo Bellazzi (EMBC, 2015)

Template for preparation of papers for IEEE sponsored conferences & symposia. - Lucia Sacchi; Arianna Dagliati; Valentina Tibollo; Paola Leporati; Pasquale De Cata; Carlo Cerra; Luca Chiovato; Riccardo Bellazzi (EMBC, 2015)

Improving Clinical Decisions on T2DM Patients Integrating Clinical, Administrative and Environmental Data. - Daniele Segagni; Lucia Sacchi; Arianna Dagliati; Valentina Tibollo; Paola Leporati; Pasquale De Cata; Luca Chiovato; Riccardo Bellazzi (MedInfo, 2015)

Gnaeus: Utilizing Clinical Guidelines for Knowledge-assisted Visualisation of EHR Cohorts. - Paolo Federico 001; Jürgen Unger; Albert Amor-Amoros; Lucia Sacchi; Denis Klimov; Silvia Miksch (EuroVA@EuroVis, 2015)

From decision to shared-decision: Introducing patients' preferences into clinical decision analysis. - Lucia Sacchi; Stefania Rubrichi; Carla Rognoni; Silvia Panzarasa; Enea Parimbelli; Andrea Mazzanti; Carlo Napolitano; Silvia G. Priori; Silvana Quaglini (Artif. Intell. Medicine, 2015)

JTSA: An open source framework for time series abstractions. - Lucia Sacchi; Davide Capozzi; Riccardo Bellazzi; Cristiana Larizza (Comput. Methods Programs Biomed., 2015)

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 (AMIA, 2016)

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 (AMIA, 2016)

Learning T2D Evolving Complexity from EMR and Administrative Data by Means of Continuous Time Bayesian Networks. - Simone Marini; Arianna Dagliati; Lucia Sacchi; Riccardo Bellazzi (HEALTHINF, 2016)

Combining Naive Bayes Classifiers with Temporal Association Rules for Coronary Heart Disease Diagnosis. - Kalia Orphanou; Arianna Dagliati; Lucia Sacchi; Athena Stassopoulou; Elpida Keravnou; Riccardo Bellazzi (ICHI, 2016)

The Role of Nurses in E-Health: The MobiGuide Project Experience. - Enea Parimbelli; Lucia Sacchi; Roxana Ioana Budasu; Carlo Napolitano; Mor Peleg; Silvana Quaglini (Nursing Informatics, 2016)

pMineR: An Innovative R Library for Performing Process Mining in Medicine. - Roberto Gatta; Jacopo Lenkowicz; Mauro Vallati; Eric Rojas 001; Andrea Damiani; Lucia Sacchi; Berardino De Bari; Arianna Dagliati; Carlos Fernández-Llatas; Matteo Montesi; Antonio Marchetti; Maurizio Castellano; et al. (AIME, 2017)

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 (AIME, 2017)

A Platform for Targeting Cost-Utility Analyses to Specific Populations. - Elisa Salvi; Enea Parimbelli; Gladys Emalieu; Silvana Quaglini; Lucia Sacchi (AIME, 2017)

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 (AIME, 2017)

Predicting Comorbidities Using Resampling and Dynamic Bayesian Networks with Latent Variables. - Leila Yousefi; Lucia Sacchi; Riccardo Bellazzi; Luca Chiovato; Allan Tucker (CBMS, 2017)

Generating and Comparing Knowledge Graphs of Medical Processes Using pMineR. - Roberto Gatta; Mauro Vallati; Jacopo Lenkowicz; Eric Rojas 001; Andrea Damiani; Lucia Sacchi; Berardino De Bari; Arianna Dagliati; Carlos Fernández-Llatas; Matteo Montesi; Antonio Marchetti; Maurizio Castellano; et al. (K-CAP, 2017)

Exploiting Temporal Constraints of Clinical Guidelines by Applying OpenEHR Archetypes. - Lilian Mie Mukai Cintho; Diego Garcia; Bruno Henrique da Silva Santos; Lucia Sacchi; Silvana Quaglini; Claudia Maria Cabral Moro (MedInfo, 2017)

Clinical timelines development from textual medical reports in Italian. - Natalia Viani; Lucia Sacchi; Valentina Tibollo; Carlo Napolitano; Silvia G. Priori; Riccardo Bellazzi (RTSI, 2017)

Artificial Intelligence in Medicine AIME 2015. - John H. Holmes; Lucia Sacchi; Riccardo Bellazzi; Niels Peek (Artif. Intell. Medicine, 2017)

Assessment of a personalized and distributed patient guidance system. - 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; et al. (Int. J. Medical Informatics, 2017)

Temporal electronic phenotyping by mining careflows of breast cancer patients. - Arianna Dagliati; Lucia Sacchi; Alberto Zambelli; Valentina Tibollo; L. Pavesi; John H. Holmes; Riccardo Bellazzi (J. Biomed. Informatics, 2017)

MobiGuide: a personalized and patient-centric decision-support system and its evaluation in the atrial fibrillation and gestational diabetes domains. - 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; et al. (User Model. User Adapt. Interact., 2017)

Opening the Black Box: Discovering and Explaining Hidden Variables in Type 2 Diabetic Patient Modelling. - Leila Yousefi; Stephen Swift; Mahir Arzoky; Lucia Sacchi; Luca Chiovato; Allan Tucker (BIBM, 2018)

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 (CBMS, 2018)

AID-GM: An Advanced System Supporting Continuous Monitoring of T1DM Patients. - Elisa Salvi; Lucia Sacchi; Alexandra Madè; Valeria Calcaterra; Riccardo Bellazzi; Cristiana Larizza (MIE, 2018)

Automatic Processing of Anatomic Pathology Reports in the Italian Language to Enhance the Reuse of Clinical Data. - Natalia Viani; Lorenzo Chiudinelli; Cristina Tasca; Alberto Zambelli; Mauro Bucalo; Arianna Ghirardi; Nicola Barbarini; Eleonora Sfreddo; Lucia Sacchi; Carlo Tondini; Riccardo Bellazzi (MIE, 2018)

An Algorithm for Estimating Gait Parameters Through a Commercial Sensorized Carpet. - Riccardo Bagarotti; Elisa Maria Zini; Elisa Salvi; Lucia Sacchi; Silvana Quaglini; Giordano Lanzola (RTSI, 2018)

Preface: AIME 2017. - Annette ten Teije; Christian Popow; John H. Holmes; Lucia Sacchi (Artif. Intell. Medicine, 2018)

Big Data as a Driver for Clinical Decision Support Systems: A Learning Health Systems Perspective. - 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 (Frontiers Digit. Humanit., 2018)

Information extraction from Italian medical reports: An ontology-driven approach. - Natalia Viani; Cristiana Larizza; Valentina Tibollo; Carlo Napolitano; Silvia G. Priori; Riccardo Bellazzi; Lucia Sacchi (Int. J. Medical Informatics, 2018)

A dashboard-based system for supporting diabetes care. - Arianna Dagliati; Lucia Sacchi; Valentina Tibollo; Giulia Cogni; Marsida Teliti; Antonio Martinez-Millana; Vicente Traver 001; Daniele Segagni; Jorge Posada; Manuel Ottaviano; Giuseppe Fico; María Teresa Arredondo; et al. (J. Am. Medical Informatics Assoc., 2018)

Incorporating repeating temporal association rules in Naïve Bayes classifiers for coronary heart disease diagnosis. - Kalia Orphanou; Arianna Dagliati; Lucia Sacchi; Athena Stassopoulou; Elpida Keravnou; Riccardo Bellazzi (J. Biomed. Informatics, 2018)

Patient similarity for precision medicine: A systematic review. - Enea Parimbelli; Simone Marini; Lucia Sacchi; Riccardo Bellazzi (J. Biomed. Informatics, 2018)

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 (AIME, 2019)

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 (AIME, 2019)

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 (AIME, 2019)

Clinical Guidelines: A Crossroad of Many Research Areas. Challenges and Opportunities in Process Mining for Healthcare. - 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; et al. (Business Process Management Workshops, 2019)

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 (CBMS, 2019)

Clustering Cardiovascular Risk Trajectories of Patients with Type 2 Diabetes Using Process Mining. - Joyce Pebesma; Antonio Martinez-Millana; Lucia Sacchi; Carlos Fernández-Llatas; Pasquale De Cata; Luca Chiovato; Riccardo Bellazzi; Vicente Traver 001 (EMBC, 2019)

Ontology-Driven Real World Evidence Extraction from Clinical Narratives. - Lorenzo Chiudinelli; Matteo Gabetta; G. Centorrino; Natalia Viani; Cristina Tasca; Alberto Zambelli; Mauro Bucalo; Arianna Ghirardi; Nicola Barbarini; Eleonora Sfreddo; Carlo Tondini; Riccardo Bellazzi; et al. (MedInfo, 2019)

Permutation Entropy Applied to Fitbit Data: Long-Term Sleep Analysis on One Healthy Subject. - Elisa Salvi; Giordano Lanzola; Silvana Quaglini; Silvia Panzarasa; Riccardo Bagarotti; Laura Rodi; Cristiana Larizza; Lucia Sacchi (pHealth, 2019)

Supervised methods to extract clinical events from cardiology reports in Italian. - Natalia Viani; Timothy A. Miller; Carlo Napolitano; Silvia G. Priori; Guergana K. Savova; Riccardo Bellazzi; Lucia Sacchi (J. Biomed. Informatics, 2019)

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. - 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; et al. (BMC Medical Informatics Decis. Mak., 2019)

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 (AIME, 2020)

Comparison of Models for Predicting the Risk of Falling in the Non-hospitalized Elderly and Evaluation of Their Performances on an Italian Population. - Elisa Salvi; Irma Sterpi; Antonio Caronni; Peppino Tropea; Michela Picardi; Massimo Corbo; Giordano Lanzola; Silvana Quaglini; Lucia Sacchi (HEALTHINF, 2020)

Building Trajectories Over Topology with TDA-PTS: An Application in Modelling Temporal Phenotypes of Disease. - Seyed Erfan Sajjadi; Barbara Draghi; Lucia Sacchi; Arianna Dagliati; John H. Holmes; Allan Tucker (PKDD/ECML Workshops, 2020)

Mining post-surgical care processes in breast cancer patients. - Lorenzo Chiudinelli; Arianna Dagliati; Valentina Tibollo; Sara Albasini; Nophar Geifman; Niels Peek; John H. Holmes; Fabio Corsi; Riccardo Bellazzi; Lucia Sacchi (Artif. Intell. Medicine, 2020)

Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records. - Arianna Dagliati; Nophar Geifman; Niels Peek; John H. Holmes; Lucia Sacchi; Riccardo Bellazzi; Seyed Erfan Sajjadi; Allan Tucker (Artif. Intell. Medicine, 2020)

Bringing spatiotemporal gait analysis into clinical practice: Instrument validation and pilot study of a commercial sensorized carpet. - Giordano Lanzola; Riccardo Bagarotti; Lucia Sacchi; Elisa Salvi; Anna Alloni; Michela Picardi; Irma Sterpi; Rosangela Boninsegna; Massimo Corbo; Silvana Quaglini (Comput. Methods Programs Biomed., 2020)

Patient-Generated Health Data Integration and Advanced Analytics for Diabetes Management: The AID-GM Platform. - Elisa Salvi; Pietro Bosoni; Valentina Tibollo; Lisanne Kruijver; Valeria Calcaterra; Lucia Sacchi; Riccardo Bellazzi; Cristiana Larizza (Sensors, 2020)

Detection of Parkinson's Disease Early Progressors Using Routine Clinical Predictors. - Marco Cotogni; Lucia Sacchi; Dejan Georgiev; Aleksander Sadikov (AIME, 2021)

Detecting Mild Cognitive Impairment Using Smooth Pursuit and a Modified Corsi Task. - Alessia Gerbasi; Vida Groznik; Dejan Georgiev; Lucia Sacchi; Aleksander Sadikov (AIME, 2021)

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; et al. (AIME, 2021)

Enhancing the IDEAS Framework with Ontology: Designing Digital Interventions for Improving Cancer Patients' Wellbeing. - Nicole Veggiotti; Lucia Sacchi; Mor Peleg (AMIA, 2021)

Automatic Data Transfer from OMOP-CDM to REDCap: A Semantically-Enriched Framework. - Emanuele Girani; Matteo Gabetta; Anna Alloni; Morena Stuppia; Lucia Sacchi; Nicola Barbarini (EFMI-STC, 2021)

Improving Keyword-Based Topic Classification in Cancer Patient Forums with Multilingual Transformers. - T. M. Buonocore; Enea Parimbelli; Lucia Sacchi; Roberto Bellazzi; L. del Campo; Silvana Quaglini (MedInfo, 2021)

Obstructive Sleep Apnea Home-Monitoring Using a Commercial Wearable Device. - Mehrshad Mokhtaran; Lucia Sacchi; Valentina Tibollo; Irene Risi; Vittoria Ramella; Silvana Quaglini; Francesco Fanfulla (MedInfo, 2021)

Developing the Digital Healthcare Workforce in Italy: The SIBIM Experience. - Sara Marceglia; Gabriella Balestra; Alessio Bottrighi; Mauro Giacomini; Pierangelo Veltri; Lucia Sacchi (EFMI-STC, 2022)

Personalising Symptoms Reporting in Telemonitoring Applications for Cancer Patients. - Lucia Sacchi; Nicole Veggiotti; Emanuele Girani; Valentina Tibollo; Silvana Quaglini (MIE, 2022)

Process mining for healthcare: Characteristics and challenges. - Jorge Munoz-Gama; Niels Martin; Carlos Fernández-Llatas; Owen A. Johnson; Marcos Sepúlveda; Emmanuel Helm; Victor Galvez-Yanjari; Eric Rojas 001; Antonio Martinez-Millana; Davide Aloini; Ilaria Angela Amantea; Robert Andrews 001; et al. (J. Biomed. Informatics, 2022)

Education in Health Informatics: Perspectives from the Italian Society for Biomedical Informatics (SIBIM). - Lucia Sacchi; Gabriella Balestra; Pierangelo Veltri; Mauro Giacomini (pHealth, 2024)

Challenges in Implementing ICT Rehabilitation Environments in Real Clinical Practice. - Valentina Tibollo; Lucia Sacchi; Alberto Malovini; Anna Giardini; Giovanni D'Addio; Christian Lunetta (RTSI, 2024)

Defining Effective Engagement For Enhancing Cancer Patients' Well-being with Mobile Digital Behavior Change Interventions. - Aneta Lisowska; Szymon Wilk; Laura Locati; Mimma Rizzo; Lucia Sacchi; Silvana Quaglini; Matteo Terzaghi; Valentina Tibollo; Mor Peleg (CoRR, 2024)

How can we reward you? A compliance and reward ontology (CaRO) for eliciting quantitative reward rules for engagement in mHealth app and healthy behaviors. - Mor Peleg; Nicole Veggiotti; Lucia Sacchi; Szymon Wilk (J. Biomed. Informatics, 2024)

Enhancing RAGs for Rheumatology Triage: Strategies for Optimized Knowledge Retrieval. - Tommaso Mario Buonocore; Emanuele Cardinale; Garifallia Sakellariou; Riccardo Bellazzi; Lucia Sacchi (AIME (2), 2025)

Clinical Outcome Measurement Scales: A Domain Ontology and a Use Case for Stroke Rehabilitation. - Lucia Sacchi; Giovanna Nicora; Irene Aprile; Silvana Quaglini (AIME (2), 2025)

Temporal Characterization of Glycemia Risk Index Sequences through Random Walk Bayesian Clustering. - Francesca Pescol; Pietro Bosoni; Stefania Ghilotti; Pasquale De Cata; Valentina Tibollo; Arianna Dagliati; Fulvia Ferrazzi; Lucia Sacchi; Riccardo Bellazzi (ICHI, 2025)