Riccardo Bellazzi

Orcid: 0000-0002-6974-9808

Affiliations:
  • University of Pavia, Italy


According to our database1, Riccardo Bellazzi authored at least 260 papers between 1989 and 2024.

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Bibliography

2024
Bayesian Networks in the Management of Hospital Admissions: A Comparison between Explainable AI and Black Box AI during the Pandemic.
J. Imaging, May, 2024

Exploring the Impact of Environmental Pollutants on Multiple Sclerosis Progression.
CoRR, 2024

Reshaping Free-Text Radiology Notes Into Structured Reports With Generative Transformers.
CoRR, 2024

Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis.
CoRR, 2024

Forecasting glucose values for patients with type 1 diabetes using heart rate data.
Comput. Methods Programs Biomed., 2024

CAD-RADS scoring of coronary CT angiography with Multi-Axis Vision Transformer: A clinically-inspired deep learning pipeline.
Comput. Methods Programs Biomed., 2024

Forecasting dominance of SARS-CoV-2 lineages by anomaly detection using deep AutoEncoders.
Briefings Bioinform., 2024

Reshaping free-text radiology notes into structured reports with generative question answering transformers.
Artif. Intell. Medicine, 2024

Continuous Markov Models for Analyzing the Effect of Environmental Personal Exposure on Multiple Sclerosis Progression.
Proceedings of the pHealth 2024 - Proceedings of the 20th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 2024

Predicting Multiple Sclerosis Relapses Using Patient Exposure Trajectories.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

SynthCheck: A Dashboard for Synthetic Data Quality Assessment.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

Do You Trust Your Model Explanations? An Analysis of XAI Performance Under Dataset Shift.
Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

2023
Advancing Italian biomedical information extraction with transformers-based models: Methodological insights and multicenter practical application.
J. Biomed. Informatics, December, 2023

Localizing in-domain adaptation of transformer-based biomedical language models.
J. Biomed. Informatics, August, 2023

Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review.
Artif. Intell. Medicine, August, 2023

DeepMiCa: Automatic segmentation and classification of breast MIcroCAlcifications from mammograms.
Comput. Methods Programs Biomed., June, 2023

A comparative study of the definitions of intradialytic hypotension correlated with increased mortality to identify universal predictors.
Int. J. Medical Informatics, May, 2023

Bioengineering and medical informatics education in MD programs: perspectives from three Italian experiences.
Int. J. Medical Informatics, April, 2023

Why did AI get this one wrong? - Tree-based explanations of machine learning model predictions.
Artif. Intell. Medicine, January, 2023

Advancing Italian Biomedical Information Extraction with Large Language Models: Methodological Insights and Multicenter Practical Application.
CoRR, 2023

Predicting and Explaining Risk of Disease Worsening Using Temporal Features in Multiple Sclerosis.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Machine Learning Applied to Electronic Health Record Data: Opportunities and Challenges.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

A Rule-Free Approach for Cardiological Registry Filling from Italian Clinical Notes with Question Answering Transformers.
Proceedings of the Artificial Intelligence in Medicine, 2023

A Topological Data Analysis Framework for Computational Phenotyping.
Proceedings of the Artificial Intelligence in Medicine, 2023

2022
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients.
npj Digit. Medicine, 2022

SurvMaximin: Robust federated approach to transporting survival risk prediction models.
J. Biomed. Informatics, 2022

Evaluating pointwise reliability of machine learning prediction.
J. Biomed. Informatics, 2022

Localising In-Domain Adaptation of Transformer-Based Biomedical Language Models.
CoRR, 2022

A manifesto on explainability for artificial intelligence in medicine.
Artif. Intell. Medicine, 2022

Dynamic Prediction of Non-Neutral SARS-Cov-2 Variants Using Incremental Machine Learning.
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

A Deductive Data-Driven Pipeline Powered by MLHO for Post-Acute Sequelae of COVID-19 (PASC) Phenotyping.
Proceedings of the AMIA 2022, 2022

The PERISCOPE Data Atlas: A Demonstration of Release v1.2.
Proceedings of the Artificial Intelligence in Medicine, 2022

2021
Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data.
J. Am. Medical Informatics Assoc., 2021

Tree-based local explanations of machine learning model predictions, AraucanaXAI.
CoRR, 2021

The Gene Mover's Distance: Single-cell similarity via Optimal Transport.
CoRR, 2021

Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview.
Briefings Bioinform., 2021

Temporal Phenotypic Pathways of Post-Acute Sequelae of SARS-CoV-2 by an International Consortium for Clinical Characterization of COVID-19 (4CE).
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

A Topological Data Analysis Mapper of the Ovarian Folliculogenesis Based on MALDI Mass Spectrometry Imaging Proteomics.
Proceedings of the Artificial Intelligence in Medicine, 2021

ALFABETO: Supporting COVID-19 Hospital Admissions with Bayesian Networks.
Proceedings of the Workshop on Towards Smarter Health Care: Can Artificial Intelligence Help? co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA2021), 2021

2020
Patient-Generated Health Data Integration and Advanced Analytics for Diabetes Management: The AID-GM Platform.
Sensors, 2020

Deep Learning to Unveil Correlations between Urban Landscape and Population Health.
Sensors, 2020

International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium.
npj Digit. Medicine, 2020

A continuous-time Markov model approach for modeling myelodysplastic syndromes progression from cross-sectional data.
J. Biomed. Informatics, 2020

A survey on single and multi omics data mining methods in cancer data classification.
J. Biomed. Informatics, 2020

SCOR: A secure international informatics infrastructure to investigate COVID-19.
J. Am. Medical Informatics Assoc., 2020

Integrating machine learning techniques and physiology based heart rate features for antepartum fetal monitoring.
Comput. Methods Programs Biomed., 2020

A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks.
BMC Bioinform., 2020

Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records.
Artif. Intell. Medicine, 2020

Mining post-surgical care processes in breast cancer patients.
Artif. Intell. Medicine, 2020

The PULSE Project: A Case of Use of Big Data Uses Toward a Cohomprensive Health Vision of City Well Being.
Proceedings of the Impact of Digital Technologies on Public Health in Developed and Developing Countries, 2020

A Reliable Machine Learning Approach applied to Single-Cell Classification in Acute Myeloid Leukemia.
Proceedings of the AMIA 2020, 2020

Explainable Artificial Intelligence (XAI): Current Approaches and Paths to the Future.
Proceedings of the AMIA 2020, 2020

Deep Learning Applied to Blood Glucose Prediction from Flash Glucose Monitoring and Fitbit Data.
Proceedings of the Artificial Intelligence in Medicine, 2020

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.
BMC Medical Informatics Decis. Mak., 2019

Supervised methods to extract clinical events from cardiology reports in Italian.
J. Biomed. Informatics, 2019

CBS-miRSeq: A comprehensive tool for accurate and extensive analyses of microRNA-sequencing data.
Comput. Biol. Medicine, 2019

Ontology-Driven Real World Evidence Extraction from Clinical Narratives.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Transfer Learning for Urban Landscape Clustering and Correlation with Health Indexes.
Proceedings of the How AI Impacts Urban Living and Public Health, 2019

Clustering Cardiovascular Risk Trajectories of Patients with Type 2 Diabetes Using Process Mining.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

An Extension of the i2b2 Data Warehouse to Support REDCap Dynamic Data Pull.
Proceedings of the ICT for Health Science Research - Proceedings of the EFMI 2019 Special Topic Conference, 2019

Latent Class Multi-Label Classification to Identify Subclasses of Disease for Improved Prediction.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

Agent-Based Models and Spatial Enablement: A Simulation Tool to Improve Health and Wellbeing in Big Cities.
Proceedings of the Artificial Intelligence in Medicine, 2019

A Semi-supervised Learning Approach for Pan-Cancer Somatic Genomic Variant Classification.
Proceedings of the Artificial Intelligence in Medicine, 2019

A Rule-Based Expert System for Automatic Implementation of Somatic Variant Clinical Interpretation Guidelines.
Proceedings of the Artificial Intelligence in Medicine, 2019

2018
Nearest Consensus Clustering Classification to Identify Subclasses and Predict Disease.
J. Heal. Informatics Res., 2018

Patient similarity for precision medicine: A systematic review.
J. Biomed. Informatics, 2018

Incorporating repeating temporal association rules in Naïve Bayes classifiers for coronary heart disease diagnosis.
J. Biomed. Informatics, 2018

A dashboard-based system for supporting diabetes care.
J. Am. Medical Informatics Assoc., 2018

Information extraction from Italian medical reports: An ontology-driven approach.
Int. J. Medical Informatics, 2018

Trusting telemedicine: A discussion on risks, safety, legal implications and liability of involved stakeholders.
Int. J. Medical Informatics, 2018

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

Automatic Processing of Anatomic Pathology Reports in the Italian Language to Enhance the Reuse of Clinical Data.
Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018

AID-GM: An Advanced System Supporting Continuous Monitoring of T1DM Patients.
Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018

Predicting Disease Complications Using a Stepwise Hidden Variable Approach for Learning Dynamic Bayesian Networks.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

Integrating Environmental Data, Citizen Science and Personalized Predictive Modeling to Support Public Health in Cities: The PULSE WebGIS.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Stability analysis of MTopGO for module identification in PPI networks.
PeerJ Prepr., 2017

MTopGO: a tool for module identification in PPI Networks.
PeerJ Prepr., 2017

Procedure to integrate i2b2 and REDCap: a case study at ICSM.
PeerJ Prepr., 2017

Temporal electronic phenotyping by mining careflows of breast cancer patients.
J. Biomed. Informatics, 2017

Artificial Intelligence in Medicine AIME 2015.
Artif. Intell. Medicine, 2017

Clinical timelines development from textual medical reports in Italian.
Proceedings of the 3rd IEEE International Forum on Research and Technologies for Society and Industry, 2017

Predicting Comorbidities Using Resampling and Dynamic Bayesian Networks with Latent Variables.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Recurrent Neural Network Architectures for Event Extraction from Italian Medical Reports.
Proceedings of the Artificial Intelligence in Medicine, 2017

Data Fusion Approach for Learning Transcriptional Bayesian Networks.
Proceedings of the Artificial Intelligence in Medicine, 2017

2016
Guest Editorial IEEE EMBC 2015.
IEEE J. Biomed. Health Informatics, 2016

A computational method for designing diverse linear epitopes including citrullinated peptides with desired binding affinities to intravenous immunoglobulin.
BMC Bioinform., 2016

Beyond Cohort Selection: An Analytics-Enabled i2b2.
Proceedings of the Exploring Complexity in Health: An Interdisciplinary Systems Approach - Proceedings of MIE2016 at HEC2016, Munich, Germany, 28 August, 2016

Combining Naive Bayes Classifiers with Temporal Association Rules for Coronary Heart Disease Diagnosis.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

Comparison of data mining techniques applied to fetal heart rate parameters for the early identification of IUGR fetuses.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Out-of-Home Activity Recognition from GPS Data in Schizophrenic Patients.
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

Combining Unsupervised and Supervised Learning for Discovering Disease Subclasses.
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

Learning T2D Evolving Complexity from EMR and Administrative Data by Means of Continuous Time Bayesian Networks.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

Information Extraction from Italian medical reports: first steps towards clinical timelines development.
Proceedings of the AMIA 2016, 2016

Hierarchical Bayesian Logistic Regression to forecast metabolic control in type 2 DM patients.
Proceedings of the AMIA 2016, 2016

2015
Designing an artificial pancreas architecture: the AP@home experience.
Medical Biol. Eng. Comput., 2015

A kinetic model-based algorithm to classify NGS short reads by their allele origin.
J. Biomed. Informatics, 2015

A Dynamic Bayesian Network model for long-term simulation of clinical complications in type 1 diabetes.
J. Biomed. Informatics, 2015

Optimal marker placement in hadrontherapy: Intelligent optimization strategies with augmented Lagrangian pattern search.
J. Biomed. Informatics, 2015

JTSA: An open source framework for time series abstractions.
Comput. Methods Programs Biomed., 2015

PaPI: pseudo amino acid composition to score human protein-coding variants.
BMC Bioinform., 2015

BigQ: a NoSQL based framework to handle genomic variants in i2b2.
BMC Bioinform., 2015

Thirty years of artificial intelligence in medicine (AIME) conferences: A review of research themes.
Artif. Intell. Medicine, 2015

Improving Clinical Decisions on T2DM Patients Integrating Clinical, Administrative and Environmental Data.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

On The Correlation Between Geo-Referenced Clinical Data And Remotely Sensed Air Pollution Maps.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

Inferring air quality maps from remotely sensed data to exploit georeferenced clinical onsets: The Pavia 2013 case.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Template for preparation of papers for IEEE sponsored conferences & symposia.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Improving risk-stratification of Diabetes complications using temporal data mining.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

From data to the decision: A software architecture to integrate predictive modelling in clinical settings.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

A collaborative environment for shared classification of neuroimages: The experience of the Colibri project.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Exposome, Health and Biomedical Informatics - An Emerging Discipline and Its Interaction with Current Biomedical Informatics.
Proceedings of the HEALTHINF 2015, 2015

Collaborative Filtering for Estimating Health Related Utilities in Decision Support Systems.
Proceedings of the Artificial Intelligence in Medicine, 2015

A Genomic Data Fusion Framework to Exploit Rare and Common Variants for Association Discovery.
Proceedings of the Artificial Intelligence in Medicine, 2015

Running Genome Wide Data Analysis Using a Parallel Approach on a Cloud Platform.
Proceedings of the Artificial Intelligence in Medicine, 2015

Comparison of Probabilistic versus Non-probabilistic Electronic Nose Classification Methods in an Animal Model.
Proceedings of the Artificial Intelligence in Medicine, 2015

2014
Exposome informatics: considerations for the design of future biomedical research information systems.
J. Am. Medical Informatics Assoc., 2014

Kimimila: A New Model to Classify NGS Short Reads by Their Allele Origin.
Proceedings of the 2014 IEEE International Conference on Healthcare Informatics, 2014

Multivariate analysis based on linear and non-linear FHR parameters for the identification of IUGR fetuses.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

A proposal of architecture to share patients data out of healthcare settings for research purposes.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

Temporal abstractions to enrich Activity-Based Process Mining corpus with clinical time series.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

Temporal data mining and process mining techniques to identify cardiovascular risk-associated clinical pathways in Type 2 diabetes patients.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

A data gathering framework to collect Type 2 diabetes patients data.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

The Colibri project: A multicenter shared database of magnetic resonance images about rare neurological diseases.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

Handling Clinical and Next Generation Sequencing data: new strategies in i2b2 and tranSMART.
Proceedings of the AMIA 2014, 2014

Use of Patient Generated Data from Social Media and Collaborative Filtering for Preferences Elicitation in Shared Decision Making.
Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014

2013
Network-based target ranking for polypharmacological therapies.
J. Biomed. Informatics, 2013

Trustworthy reuse of health data: A transnational perspective.
Int. J. Medical Informatics, 2013

Temporal Reasoning with Probabilities
CoRR, 2013

Bayesian Networks Aplied to Therapy Monitoring
CoRR, 2013

A Unified Medical Language System (UMLS) Based System for Literature-Based Discovery in Medicine.
Proceedings of the MEDINFO 2013, 2013

The IMIA initiatives on Trustworthy Reuse of Health Data: A Report.
Proceedings of the MEDINFO 2013, 2013

INDIV-3D. A new model for INdividual Data Integration and Visualisation using spatial coordinates.
Proceedings of the Informatics, 2013

Interest Propagation for Knowledge Extraction and Representation.
Proceedings of the Data and Knowledge for Medical Decision Support, 2013

Mining Careflow Patterns in data warehouses of breast cancer patients.
Proceedings of the AMIA 2013, 2013

Biomedical and Healthcare Analytics on Big Data.
Proceedings of the AMIA 2013, 2013

Knowledge-Based Identification of Multicomponent Therapies.
Proceedings of the Artificial Intelligence in Medicine, 2013

2012
Stochastic model search with binary outcomes for genome-wide association studies.
J. Am. Medical Informatics Assoc., 2012

Implementation of an automated system for monitoring adherence to hemodialysis treatment: A report of seven years of experience.
Int. J. Medical Informatics, 2012

An ICT infrastructure to integrate clinical and molecular data in oncology research.
BMC Bioinform., 2012

Hierarchical Naive Bayes for genetic association studies.
BMC Bioinform., 2012

Clinical Bioinformatics: challenges and opportunities.
BMC Bioinform., 2012

Development and Representation of Health Indicators with Thematic Maps.
Proceedings of the Quality of Life through Quality of Information, 2012

ONCO-i2b2: Improve Patients Selection through Case-Based Information Retrieval Techniques.
Proceedings of the Data Integration in the Life Sciences - 8th International Conference, 2012

Report From European Summit On Trustworthy Reuse Of Health Data.
Proceedings of the AMIA 2012, 2012

2011
Predictive data mining in clinical medicine: a focus on selected methods and applications.
WIREs Data Mining Knowl. Discov., 2011

Corrigendum to "In Memoriam: 'Professor Mario Stefanelli (1945-2010)'" [J Biomed Inform (2010) 859-60].
J. Biomed. Informatics, 2011

Computer-based genealogy reconstruction in founder populations.
J. Biomed. Informatics, 2011

Inferring cell cycle feedback regulation from gene expression data.
J. Biomed. Informatics, 2011

R Engine Cell: integrating R into the i2b2 software infrastructure.
J. Am. Medical Informatics Assoc., 2011

Stage prediction of embryonic stem cell differentiation from genome-wide expression data.
Bioinform., 2011

Mario Stefanelli, 1945-2010.
Artif. Intell. Medicine, 2011

The ONCO-I2b2 Project: Integrating Biobank Information and Clinical Data to Support Translational Research in Oncology.
Proceedings of the User Centered Networked Health Care - Proceedings of MIE 2011, 2011

Information Technology Solutions to Support Translational Research on Inherited Cardiomyopathies.
Proceedings of the User Centered Networked Health Care - Proceedings of MIE 2011, 2011

Ranking and 1-Dimensional Projection of Cell Development Transcription Profiles.
Proceedings of the Artificial Intelligence in Medicine, 2011

A Data Mining Library for miRNA Annotation and Analysis.
Proceedings of the Artificial Intelligence in Medicine, 2011

2010
An automated reasoning framework for translational research.
J. Biomed. Informatics, 2010

Professor Mario Stefanelli (1945-2010).
J. Biomed. Informatics, 2010

Temporal Clustering for Blood Glucose Analysis in the ICU: Identification of Groups of Patients with Different Risk Profile.
Proceedings of the MEDINFO 2010, 2010

Text Mining approaches for Automated Literature Knowledge Extraction and Representation.
Proceedings of the MEDINFO 2010, 2010

Translational Bioinformatics: Challenges and Opportunities for Case-Based Reasoning and Decision Support.
Proceedings of the Case-Based Reasoning. Research and Development, 2010

2009
Phenotypic and genotypic data integration and exploration through a web-service architecture.
BMC Bioinform., 2009

Phenotype forecasting with SNPs data through gene-based Bayesian networks.
BMC Bioinform., 2009

The coming of age of artificial intelligence in medicine.
Artif. Intell. Medicine, 2009

Artificial intelligence in medicine AIME'07.
Artif. Intell. Medicine, 2009

Mining Administrative and Clinical Diabetes Data with Temporal Association Rules.
Proceedings of the Medical Informatics in a United and Healthy Europe - Proceedings of MIE 2009, The XXIInd International Congress of the European Federation for Medical Informatics, Sarajevo, Bosnia and Herzegovina, August 30, 2009

A Methodology for the Extraction of Quantitative Risk Indexes from Medical Injuries Compensation Claims.
Proceedings of the Medical Informatics in a United and Healthy Europe - Proceedings of MIE 2009, The XXIInd International Congress of the European Federation for Medical Informatics, Sarajevo, Bosnia and Herzegovina, August 30, 2009

Multivariate Time Series Classification with Temporal Abstractions.
Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

Temporal Data Mining for the Assessment of the Costs Related to Diabetes Mellitus Pharmacological Treatment.
Proceedings of the AMIA 2009, 2009

A Temporal Abstraction Framework for Classifying Clinical Temporal Data.
Proceedings of the AMIA 2009, 2009

An Architecture for Automated Reasoning Systems for Genome-Wide Studies.
Proceedings of the Artificial Intelligence in Medicine, 2009

On Quality of Different Annotation Sources for Gene Expression Analysis.
Proceedings of the Artificial Intelligence in Medicine, 2009

Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment for a Practical Use.
Proceedings of the Artificial Intelligence in Medicine, 2009

Temporal Data Mining of HIV Registries: Results from a 25 Years Follow-Up.
Proceedings of the Artificial Intelligence in Medicine, 2009

2008
Building a Normative Decision Support System for Clinical and Operational Risk Management in Hemodialysis.
IEEE Trans. Inf. Technol. Biomed., 2008

Predictive data mining in clinical medicine: Current issues and guidelines.
Int. J. Medical Informatics, 2008

TimeClust: a clustering tool for gene expression time series.
Bioinform., 2008

Analysis and Visualization of Spatial Proteomic Data for Tissue Characterization.
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008

2007
Assessing the Quality of Care for End Stage Renal Failure Patients by Means of Artificial Intelligence Methodologies.
Proceedings of the Advanced Computational Intelligence Paradigms in Healthcare - 1, 2007

Precedence Temporal Networks to represent temporal relationships in gene expression data.
J. Biomed. Informatics, 2007

Towards knowledge-based gene expression data mining.
J. Biomed. Informatics, 2007

Inferring gene regulatory networks by integrating static and dynamic data.
Int. J. Medical Informatics, 2007

Data mining with Temporal Abstractions: learning rules from time series.
Data Min. Knowl. Discov., 2007

Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks.
BMC Bioinform., 2007

A procedure to decompose high resolution mass spectra.
BMC Bioinform., 2007

Temporal abstraction for feature extraction: A comparative case study in prediction from intensive care monitoring data.
Artif. Intell. Medicine, 2007

A Dynamic Query System for Supporting Phenotype Mining in Genetic Studies.
Proceedings of the MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics, 2007

Automatic Pedigree Reconstruction for Genetic Studies in Isolated Populations.
Proceedings of the MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics, 2007

2006
A stochastic model to assess the variability of blood glucose time series in diabetic patients self-monitoring.
IEEE Trans. Biomed. Eng., 2006

A proposed semantic framework for diabetes education content management, customisation and delivery within the M2DM project.
Comput. Methods Programs Biomed., 2006

A hierarchical Naïve Bayes Model for handling sample heterogeneity in classification problems: an application to tissue microarrays.
BMC Bioinform., 2006

Knowledge-based data analysis and interpretation.
Artif. Intell. Medicine, 2006

Case-based retrieval to support the treatment of end stage renal failure patients.
Artif. Intell. Medicine, 2006

Inferring gene expression networks via static and dynamic data integration.
Proceedings of the Ubiquity: Technologies for Better Health in Aging Societies, 2006

Dynamic Bayesian Networks in Modelling Cellular Systems: a Critical Appraisal on Simulated Data.
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

A New Approach for the Analysis of Mass Spectrometry Data for Biomarker Discovery.
Proceedings of the AMIA 2006, 2006

2005
TA-clustering: Cluster analysis of gene expression profiles through Temporal Abstractions.
Int. J. Medical Informatics, 2005

Case Retrieval with Time Series Features.
Intelligenza Artificiale, 2005

Temporal data mining for the quality assessment of hemodialysis services.
Artif. Intell. Medicine, 2005

Precedence Temporal Networks from Gene Expression Data.
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005

Comparison of two temporal abstraction procedures: a case study in prediction from monitoring data.
Proceedings of the AMIA 2005, 2005

Learning Rules with Complex Temporal Patterns in Biomedical Domains.
Proceedings of the Artificial Intelligence in Medicine, 2005

User-Adapted Clinical Decision Support Systems.
Proceedings of the Challenges to Decision Support in a Changing World, 2005

An Adaptive Decision Support System for Risk Management in Haemodialysis Departments.
Proceedings of the Challenges to Decision Support in a Changing World, 2005

2004
Clustering gene expression data with Temporal Abstractions.
Proceedings of the MEDINFO 2004, 2004

A careflow management system for chronic patients.
Proceedings of the MEDINFO 2004, 2004

RHENE: A Case Retrieval System for Hemodialysis Cases with Dynamically Monitored Parameters.
Proceedings of the Advances in Case-Based Reasoning, 7th European Conference, 2004

2003
Integrating model-based decision support in a multi-modal reasoning system for managing type 1 diabetic patients.
Artif. Intell. Medicine, 2003

Quality Assessment of Hemodialysis Services through Temporal Data Mining.
Proceedings of the Artificial Intelligence in Medicine, 2003

2002
Supporting decisions in medical applications: the knowledge management perspective.
Int. J. Medical Informatics, 2002

A telemedicine support for diabetes management: the T-IDDM project.
Comput. Methods Programs Biomed., 2002


2001
A Hybrid Input-Output Approach to Model Metabolic Systems: An Application to Intracellular Thiamine Kinetics.
J. Biomed. Informatics, 2001

Cased-Based Reasoning for medical knowledge-based systems.
Int. J. Medical Informatics, 2001

Web-based telemedicine systems for home-care: technical issues and experiences.
Comput. Methods Programs Biomed., 2001

Learning from biomedical time series through the integration of qualitative models and fuzzy systems.
Artif. Intell. Medicine, 2001

Intelligent Knowledge Retrieval for Decision Support in Medical Applications.
Proceedings of the MEDINFO 2001, 2001

Improving Dialysis Services through Information Technology: From Telemedicine to Data Mining.
Proceedings of the MEDINFO 2001, 2001

A Sixth International Workshop on Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP-2001).
Proceedings of the MEDINFO 2001, 2001

Supervised Implementation of Guidelines for Diabetes Management on the World Wide Web.
Proceedings of the AMIA 2001, 2001

Integrating Different Methodologies for Insulin Therapy Support in Type 1 Diabetic Patients.
Proceedings of the Artificial Intelligence Medicine, 2001

Mining Data from a Knowledge Management Perspective: An Application to Outcome Prediction in Patients with Resectable Hepatocellular Carcinoma.
Proceedings of the Artificial Intelligence Medicine, 2001

2000
How to improve fuzzy-neural system modeling by means of qualitative simulation.
IEEE Trans. Neural Networks Learn. Syst., 2000

Bayesian analysis of blood glucose time series from diabetes home monitoring.
IEEE Trans. Biomed. Eng., 2000

A multi-modal reasoning methodology for managing IDDM patients.
Int. J. Medical Informatics, 2000

Diabetic patients management exploiting case-based reasoning techniques.
Comput. Methods Programs Biomed., 2000

Intelligent analysis of clinical time series: an application in the diabetes mellitus domain.
Artif. Intell. Medicine, 2000

Evaluating a Multi-modal Reasoning System in Diabetes Care.
Proceedings of the Advances in Case-Based Reasoning, 5th European Workshop, 2000

Artificial Intelligence Techniques for Diabetes Management: the T-IDDM Project.
Proceedings of the ECAI 2000, 2000

Exploiting multi-modal reasoning for knowledge management and decision support: an evaluation study.
Proceedings of the AMIA 2000, 2000

1999
Protocol-based reasoning in diabetic patient management.
Int. J. Medical Informatics, 1999

Supporting decisions in diabetic patients management through Case-Based retrieval.
Proceedings of the Medical Informatics Europe '99, Proceedings, Ljubljana, Slovenia, 1999

Application Report: Preliminary Evaluation of the T-IDDM Project in Pavia.
Proceedings of the Medical Informatics Europe '99, Proceedings, Ljubljana, Slovenia, 1999

A Qualitative-Fuzzy Framework for Nonlinear Black-Box System Identification.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Integrating Rule-Based and Case-Based Decision Making in Diabetic Patient Management.
Proceedings of the Case-Based Reasoning and Development, Third International Conference, 1999

Integrating case based and rule based reasoning in a decision support system: evaluation with simulated patients.
Proceedings of the AMIA 1999, 1999

Multi-modal Reasoning in Diabetic Patient Management.
Proceedings of the Artificial Intelligence in Medicine. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, 1999

Intelligent Analysis of Clinical Time Series by Combining Structural Filtering and Temporal Abstractions.
Proceedings of the Artificial Intelligence in Medicine. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, 1999

1998
Learning Bayesian networks probabilities from longitudinal data.
IEEE Trans. Syst. Man Cybern. Part A, 1998

Bayesian Function Learning Using MCMC Methods.
IEEE Trans. Pattern Anal. Mach. Intell., 1998

Temporal Abstractions for Interpreting Diabetic Patients Monitoring Data.
Intell. Data Anal., 1998

A development environment for knowledge-based medical applications on the world-wide web.
Artif. Intell. Medicine, 1998

Qualitative models and fuzzy systems: an integrated approach for learning from data.
Artif. Intell. Medicine, 1998

Retrieval in a Prototype-Based Case Library: A Case Study in Diabetes Therapy Revision.
Proceedings of the Advances in Case-Based Reasoning, 4th European Workshop, 1998

Using uncertainty management techniques in medical therapy planning: A decision-theoretic approach.
Proceedings of the Applications of Uncertainty Formalisms, 1998

A Web-Based System for Diabetes Management: The Technical and Clinical Infrastructure.
Proceedings of the AMIA 1998, 1998

Mining biomedical time series by combining structural analysis and temporal abstractions.
Proceedings of the AMIA 1998, 1998

1997
Dynamic Probabilistic Networks for Modelling and Identifying Dynamic Systems: a MCMC Approach.
Intell. Data Anal., 1997

Interpreting Longitudinal Data through Temporal Abstractions: An Application to Diabetic Patients Monitoring.
Proceedings of the Advances in Intelligent Data Analysis, 1997

Temporal Abstractions for Diabetic Patients Management.
Proceedings of the Artificial Intelligence Medicine, 1997

Learning from Data Through the Integration of Qualitative Models and Fuzzy Systems.
Proceedings of the Artificial Intelligence Medicine, 1997

1996
Learning temporal probabilistic causal models from longitudinal data.
Artif. Intell. Medicine, 1996

Causal Probabilistic Networks for Dynamic Modeling.
Proceedings of the 12th European Conference on Artificial Intelligence, 1996

1995
Adaptive controllers for intelligent monitoring.
Artif. Intell. Medicine, 1995

High Level Control Strategies for Diabetes Therapy.
Proceedings of the Artificial Intelligence Medicine, 1995

1994
Reusable influence diagrams.
Artif. Intell. Medicine, 1994

1992
Bayesian networks for patient monitoring.
Artif. Intell. Medicine, 1992

GAMEES II: an environment for building probabilistic expert systems based on arrays of Bayesian belief networks.
Proceedings of the Fifth Annual IEEE Symposium on Computer-Based Medical Systems (CBMS'92), 1992

1991
Bayesian Networks Applied to Therapy Monitoring.
Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991

A Blackboard Control Architecture for Therapy Planning.
Proceedings of the AIME 91, 1991

Cytotoxic Chemotherapy Monitoring Using Stochastic Simulation on Graphical Models.
Proceedings of the AIME 91, 1991

1989
Therapy Planning by Combining Ai and Decision Theoretic Techniques.
Proceedings of the AIME 89, 1989


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