Lucia Sacchi

发表

Supervised methods to extract clinical events from cardiology reports in Italian

Riccardo Bellazzi, Natalia Viani, Timothy A Miller, 2019, J. Biomed. Informatics.

Mining Administrative and Clinical Diabetes Data with Temporal Association Rules

Riccardo Bellazzi, Lucia Sacchi, Stefano Concaro, 2009, MIE.

From decision to shared-decision: Introducing patients' preferences into clinical decision analysis

Silvana Quaglini, Andrea Mazzanti, Stefania Rubrichi, 2015, Artif. Intell. Medicine.

A proposal of architecture to share patients data out of healthcare settings for research purposes

Riccardo Bellazzi, María Teresa Arredondo, Giuseppe Fico, 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Deep Learning Applied to Blood Glucose Prediction from Flash Glucose Monitoring and Fitbit Data

Cristiana Larizza, Riccardo Bellazzi, Lucia Sacchi, 2020, AIME.

Combining Decision Support System-Generated Recommendations with Interactive Guideline Visualization for Better Informed Decisions

Silvana Quaglini, Natalia Viani, Lucia Sacchi, 2015, AIME.

Mining Careflow Patterns in data warehouses of breast cancer patients

Riccardo Bellazzi, Arianna Dagliati, Lucia Sacchi, 2013, AMIA.

Permutation Entropy Applied to Fitbit Data: Long-Term Sleep Analysis on One Healthy Subject

Giordano Lanzola, Silvana Quaglini, Cristiana Larizza, 2019, pHealth.

CorrelaGenes: a new tool for the interpretation of the human transcriptome

Alessandra Montecucco, Lucia Sacchi, Paolo Cremaschi, 2012, BMC Bioinformatics.

MobiGuide: a personalized and patient-centric decision-support system and its evaluation in the atrial fibrillation and gestational diabetes domains

Yuval Shahar, Mor Peleg, Silvana Quaglini, 2017, User Modeling and User-Adapted Interaction.

Enhancing Guideline-Based Decision Support with Distributed Computation Through Local Mobile Application

Yuval Shahar, Tom H. F. Broens, Silvana Quaglini, 2014, Business Process Management Workshops.

Data mining with Temporal Abstractions: learning rules from time series

Carlo Combi, Cristiana Larizza, Riccardo Bellazzi, 2007, Data Mining and Knowledge Discovery.

NONCADO: A System to Prevent Falls by Encouraging Healthy Habits in Elderly People

Giordano Lanzola, Silvana Quaglini, Lucia Sacchi, 2019, AIME.

Mining post-surgical care processes in breast cancer patients

Nophar Geifman, John H. Holmes, Niels Peek, 2020, Artif. Intell. Medicine.

Temporal abstractions to enrich Activity-Based Process Mining corpus with clinical time series

Vicente Traver, Carlos Fernández-Llatas, José-Miguel Benedí, 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Predicting Disease Complications Using a Stepwise Hidden Variable Approach for Learning Dynamic Bayesian Networks

Leila Yousefi, Riccardo Bellazzi, Allan Tucker, 2018, 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS).

pMineR: An Innovative R Library for Performing Process Mining in Medicine

Mauro Vallati, Carlos Fernández-Llatas, Berardino De Bari, 2017, AIME.

Learning T2D Evolving Complexity from EMR and Administrative Data by Means of Continuous Time Bayesian Networks

Riccardo Bellazzi, Simone Marini, Arianna Dagliati, 2016, HEALTHINF.

From data to the decision: A software architecture to integrate predictive modelling in clinical settings

Vicente Traver, Antonio Martinez-Millana, Carlos Fernández-Llatas, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Artificial Intelligence in Medicine

John H. Holmes, Lucia Sacchi, Niels Peek, 2015, Lecture Notes in Computer Science.

Eliciting and Exploiting Utility Coefficients in an Integrated Environment for Shared Decision-Making

Silvana Quaglini, Lucia Sacchi, Enea Parimbelli, 2019, Methods of Information in Medicine.

Artificial Intelligence in Medicine AIME 2015

Riccardo Bellazzi, Niels Peek, John H. Holmes, 2017, Artif. Intell. Medicine.

Temporal Data Mining of HIV Registries: Results from a 25 Years Follow-Up

Enrique J. Gómez, Riccardo Bellazzi, César Cáceres, 2009, AIME.

Implementation of an automated system for monitoring adherence to hemodialysis treatment: A report of seven years of experience

Riccardo Bellazzi, Cristiana Larizza, Lucia Sacchi, 2012, Int. J. Medical Informatics.

The Role of Nurses in E-Health: The MobiGuide Project Experience

Mor Peleg, Silvana Quaglini, Lucia Sacchi, 2016, Nursing Informatics.

Improving risk-stratification of Diabetes complications using temporal data mining

Riccardo Bellazzi, Arianna Dagliati, Lucia Sacchi, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

CorrelaGenes: a new tool for the interpretation of the human transcriptome

Alessandra Montecucco, Lucia Sacchi, Paolo Cremaschi, 2012 .

Inferring gene regulatory networks by integrating static and dynamic data

Angelo Nuzzo, Riccardo Bellazzi, Paolo Magni, 2007, Int. J. Medical Informatics.

Riccardo Bellazzi, Simone Marini, Lucia Sacchi, 2018, J. Biomed. Informatics.

From Decision to Shared-Decision: Introducing Patients' Preferences in Clinical Decision Analysis - A Case Study in Thromboembolic Risk Prevention

Silvana Quaglini, Stefania Rubrichi, Lucia Sacchi, 2013, AIME.

IDAMAP 2012 Formatting Instructions

Barbara Di Camillo, Lucia Sacchi, B. Camillo, 2012 .

Towards the Economic Evaluation of Two Mini-invasive Surgical Techniques for Head&Neck Cancer: A Customizable Model for Different Populations

Silvana Quaglini, Christian Simon, Lucia Sacchi, 2019, AIME.

Information extraction from Italian medical reports: An ontology-driven approach

Riccardo Bellazzi, Cristiana Larizza, Valentina Tibollo, 2018, Int. J. Medical Informatics.

Temporal data mining and process mining techniques to identify cardiovascular risk-associated clinical pathways in Type 2 diabetes patients

Riccardo Bellazzi, John H. Holmes, Arianna Dagliati, 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Learning Rules with Complex Temporal Patterns in Biomedical Domains

Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, 2005, AIME.

A dashboard-based system for supporting diabetes care

Riccardo Bellazzi, Manuel Ottaviano, María Teresa Arredondo, 2018, J. Am. Medical Informatics Assoc..

TimeClust: a clustering tool for gene expression time series

Riccardo Bellazzi, Paolo Magni, Lucia Sacchi, 2008, Bioinform..

Information Extraction from Italian medical reports: first steps towards clinical timelines development

Riccardo Bellazzi, Cristiana Larizza, Valentina Tibollo, 2016, AMIA.

Automatic Processing of Anatomic Pathology Reports in the Italian Language to Enhance the Reuse of Clinical Data

Riccardo Bellazzi, Nicola Barbarini, Natalia Viani, 2018, MIE.

Temporal abstraction for feature extraction: A comparative case study in prediction from intensive care monitoring data

Evert de Jonge, Riccardo Bellazzi, Niels Peek, 2007, Artif. Intell. Medicine.

Recurrent Neural Network Architectures for Event Extraction from Italian Medical Reports

Riccardo Bellazzi, Steven Bethard, Guergana K. Savova, 2017, AIME.

Improving Clinical Decisions on T2DM Patients Integrating Clinical, Administrative and Environmental Data

Riccardo Bellazzi, Arianna Dagliati, Valentina Tibollo, 2015, MedInfo.

Decision Support through Data Integration: Strategies to Meet the Big Data Challenge

Riccardo Bellazzi, Lucia Sacchi, Enea Parimbelli, 2016 .

JTSA: An open source framework for time series abstractions

Cristiana Larizza, Davide Capozzi, Riccardo Bellazzi, 2015, Comput. Methods Programs Biomed..

Clustering Cardiovascular Risk Trajectories of Patients with Type 2 Diabetes Using Process Mining

Vicente Traver, Antonio Martinez-Millana, Carlos Fernández-Llatas, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Combining Naive Bayes Classifiers with Temporal Association Rules for Coronary Heart Disease Diagnosis

Elpida T. Keravnou, Riccardo Bellazzi, Athena Stassopoulou, 2016, 2016 IEEE International Conference on Healthcare Informatics (ICHI).

Improving predictive models of glaucoma severity by incorporating quality indicators

Steve Counsell, David F. Garway-Heath, Stephen Swift, 2014, Artif. Intell. Medicine.

Supporting Shared Decision Making within the MobiGuide Project

Yuval Shahar, Silvia Miksch, Mor Peleg, 2013, AMIA.

Comparison of two temporal abstraction procedures: a case study in prediction from monitoring data

Evert de Jonge, Riccardo Bellazzi, Niels Peek, 2005, AMIA.

Data mining techniques for analyzing stroke care processes

Silvana Quaglini, Mario Stefanelli, Anna Cavallini, 2010, MedInfo.

Multivariate Time Series Classification with Temporal Abstractions

Milos Hauskrecht, Riccardo Bellazzi, Iyad Batal, 2009, FLAIRS.

Temporal electronic phenotyping by mining careflows of breast cancer patients

Riccardo Bellazzi, John H. Holmes, Arianna Dagliati, 2017, J. Biomed. Informatics.

Hierarchical Bayesian Logistic Regression to forecast metabolic control in type 2 DM patients

Riccardo Bellazzi, Arianna Dagliati, Lucia Sacchi, 2016, AMIA.

Inferring Temporal Phenotypes with Topological Data Analysis and Pseudo Time-Series

Allan Tucker, Niels Peek, Nophar Geifman, 2019, AIME.

Predicting Comorbidities Using Resampling and Dynamic Bayesian Networks with Latent Variables

Allan Tucker, Riccardo Bellazzi, Leila Yousefi, 2017, 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS).

Gnaeus: Utilizing Clinical Guidelines for Knowledge-assisted Visualisation of EHR Cohorts

Silvia Miksch, Paolo Federico, Denis Klimov, 2015, EuroVA@EuroVis.

Analyzing complex patients' temporal histories: new frontiers in temporal data mining.

Riccardo Bellazzi, Arianna Dagliati, Lucia Sacchi, 2015, Methods in molecular biology.

Generating and Comparing Knowledge Graphs of Medical Processes Using pMineR

Mauro Vallati, Carlos Fernández-Llatas, Berardino De Bari, 2017, K-CAP.

Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment for a Practical Use

Riccardo Bellazzi, Lucia Sacchi, Stefano Concaro, 2009, AIME.

Comparison of Models for Predicting the Risk of Falling in the Non-hospitalized Elderly and Evaluation of Their Performances on an Italian Population

Giordano Lanzola, Lucia Sacchi, Elisa Salvi, 2020, HEALTHINF.

Exploiting Temporal Constraints of Clinical Guidelines by Applying OpenEHR Archetypes

Silvana Quaglini, Lucia Sacchi, Claudia Maria Cabral Moro, 2017, MedInfo.

Opening the Black Box: Exploring Temporal Pattern of Type 2 Diabetes Complications in Patient Clustering Using Association Rules and Hidden Variable Discovery

Allan Tucker, Mahir Arzoky, Stephen Swift, 2019, 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS).

Template for preparation of papers for IEEE sponsored conferences & symposia

Riccardo Bellazzi, Arianna Dagliati, Valentina Tibollo, 2011, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

TA-clustering: Cluster analysis of gene expression profiles through Temporal Abstractions

Blaz Zupan, Riccardo Bellazzi, Tomaz Curk, 2005, Int. J. Medical Informatics.

Predictive data mining in clinical medicine: a focus on selected methods and applications

Riccardo Bellazzi, Lucia Sacchi, Fulvia Ferrazzi, 2011, WIREs Data Mining Knowl. Discov..

Precedence temporal networks from gene expression data

Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

Clinical timelines development from textual medical reports in Italian

Riccardo Bellazzi, Valentina Tibollo, Natalia Viani, 2017, 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI).

Temporal Clustering for Blood Glucose Analysis in the ICU: Identification of Groups of Patients with Different Risk Profile

Riccardo Bellazzi, Lucia Sacchi, Giuseppe D'Ancona, 2010, MedInfo.

Temporal Data Mining for the Assessment of the Costs Related to Diabetes Mellitus Pharmacological Treatment

Riccardo Bellazzi, Mario Stefanelli, Lucia Sacchi, 2009, AMIA.

Precedence Temporal Networks to represent temporal relationships in gene expression data

Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, 2007, J. Biomed. Informatics.

A Platform for Targeting Cost-Utility Analyses to Specific Populations

Silvana Quaglini, Lucia Sacchi, Enea Parimbelli, 2017, AIME.

Preface: AIME 2017

Annette ten Teije, Christian Popow, John H. Holmes, 2018, Artif. Intell. Medicine.

Big Data as a Driver for Clinical Decision Support Systems: A Learning Health Systems Perspective

Riccardo Bellazzi, Andrea Mazzanti, Matteo Gabetta, 2018, Front. Digit. Humanit..

Incorporating repeating temporal association rules in Naïve Bayes classifiers for coronary heart disease diagnosis

Elpida T. Keravnou, Riccardo Bellazzi, Athena Stassopoulou, 2018, J. Biomed. Informatics.

AID-GM: An Advanced System Supporting Continuous Monitoring of T1DM Patients

Riccardo Bellazzi, Cristiana Larizza, Lucia Sacchi, 2018, MIE.

User Requirements for Incorporating Diabetes Modeling Techniques in Disease Management Tools

Claudio Cobelli, Riccardo Bellazzi, Andrea Facchinetti, 2015 .

A data gathering framework to collect Type 2 diabetes patients data

Konstantina S. Nikita, Claudio Cobelli, María Teresa Arredondo, 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Microarray Data Analysis: Gene Regulatory Networks

Claudio Cobelli, Riccardo Bellazzi, Paolo Magni, 2011 .

Exploring IBM Watson to Extract Meaningful Information from the List of References of a Clinical Practice Guideline

Silvana Quaglini, Anna Cavallini, Giuseppe Micieli, 2017, AIME.

An Algorithm for Estimating Gait Parameters Through a Commercial Sensorized Carpet

Giordano Lanzola, Silvana Quaglini, Lucia Sacchi, 2018, 2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI).

Clustering gene expression data with Temporal Abstractions

Blaz Zupan, Riccardo Bellazzi, Tomaz Curk, 2004, MedInfo.

Patient-tailored Workflow Patterns from Clinical Practice Guidelines Recommendations

Mor Peleg, Silvana Quaglini, Pnina Soffer, 2013, MedInfo.

Inferring gene expression networks via static and dynamic data integration

Riccardo Bellazzi, Paolo Magni, Lucia Sacchi, 2006, MIE.

Opening the Black Box: Discovering and Explaining Hidden Variables in Type 2 Diabetic Patient Modelling

Allan Tucker, Mahir Arzoky, Leila Yousefi, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A Temporal Abstraction Framework for Classifying Clinical Temporal Data

Milos Hauskrecht, Riccardo Bellazzi, Iyad Batal, 2009, AMIA.

CAncer PAtients Better Life Experience (CAPABLE) First Proof-of-Concept Demonstration

David Glasspool, Szymon Wilk, Giordano Lanzola, 2021, AIME.

Detecting Mild Cognitive Impairment Using Smooth Pursuit and a Modified Corsi Task

Aleksander Sadikov, Lucia Sacchi, Vida Groznik, 2021, AIME.

Detection of Parkinson's Disease Early Progressors Using Routine Clinical Predictors

Aleksander Sadikov, Lucia Sacchi, Dejan Georgiev, 2021, AIME.

AID-GM System (Advanced Intelligent Distant - Glucose Monitoring) to Monitor Health Status and Metabolic Control of Young People with Type 1 Diabetes

Riccardo Bellazzi, Cristiana Larizza, Chiara Montalbano, 2018 .

The differentiation of cardiomyocytes from mouse embryonic stem cells is altered by dioxin.

Riccardo Bellazzi, Fabio Fiordaliso, Silvia Garagna, 2011, Toxicology letters.

GENIUS : a new tool for gene networks visualization

Paolo Ciccarese, Stefano Mazzocchi, Lucia Sacchi, 2004 .

Safely Addressing Patients with Atrial Fibrillation to Early Anticoagulation after Acute Stroke.

Silvana Quaglini, Anna Cavallini, Giuseppe Micieli, 2017, Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association.

Subseries of Lecture Notes in Computer Science

Annette ten Teije, Christian Popow, John H. Holmes, 2016 .

Careflow Mining Techniques to Explore Type 2 Diabetes Evolution

Riccardo Bellazzi, Arianna Dagliati, Valentina Tibollo, 2018, Journal of diabetes science and technology.

Risk factors for the development of micro-vascular complications of type 2 diabetes in a single-centre cohort of patients

Riccardo Bellazzi, Arianna Dagliati, Valentina Tibollo, 2018, Diabetes & vascular disease research.

Graphical Representation of Life Paths to Better Convey Results of Decision Models to Patients

Silvana Quaglini, Andrea Mazzanti, Stefania Rubrichi, 2015, Medical decision making : an international journal of the Society for Medical Decision Making.