Luca Chiovato

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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).

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

Manuel Ottaviano, Claudio Cobelli, Vicente Traver, 2019, BMC Medical Informatics and Decision Making.

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).

Integration of Administrative, Clinical, and Environmental Data to Support the Management of Type 2 Diabetes Mellitus

Paolo Gamba, Riccardo Bellazzi, Andrea Marinoni, 2015, Journal of diabetes science and technology.

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).

A dashboard-based system for supporting diabetes care

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

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

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

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).

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

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

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).

Machine Learning Methods to Predict Diabetes Complications

Riccardo Bellazzi, Arianna Dagliati, Lucia Sacchi, 2018, Journal of diabetes science and technology.

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).

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..

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).

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).

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.

Expression of IP-10/CXCL10 and MIG/CXCL9 in the thyroid and increased levels of IP-10/CXCL10 in the serum of patients with recent-onset Graves' disease.

Luca Chiovato, Paolo Vitti, Stefano Milani, 2002, The American journal of pathology.

Prevalence of thyroid autoantibodies in children and adolescents from Belarus exposed to the Chernobyl radioactive fallout

Luca Chiovato, Tatiana Vorontsova, L. Chiovato, 1998, The Lancet.

PAX8 mutations associated with congenital hypothyroidism caused by thyroid dysgenesis

Luca Chiovato, P. Macchia, R. Lauro, 1998, Nature Genetics.