Conference Papers – Page 2 – Systems Biology and Bioinformatics Group

June 23, 2023February 6, 2024

Tavazzi E, Albertini D, Vettoretti M. Development of predictive models for short-term prediction of disability progression in multiple sclerosis. In: Proc. VIII Congress of the National Group of Bioengineering (GNB 2023).

June 14, 2023February 6, 2024

Longato E, Tavazzi E, Chiò A, Mora G, Sparacino G, Di Camillo B. Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis, In: Proc. of the 21st International Conference of Artificial Intelligence in Medicine (AIME) 2023.

September 6, 2022

Guazzo A, Trescato I, Hazizaj E., Longato E, Dosso D, Faggioli G, Di Nunzio G M, Silvello G, Vettoretti M, Tavazzi E, Roversi C, Fariselli P, Madeira S C, Alves de Carvalho M, Chiò A, Dagliati A, Birolo G, Aidos H, Di Camillo B, and Ferro N. Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge. In: Faggioli G, Ferro N, Hanbury A, Potthast M (Eds.), CLEF 2022 Working Notes, CEUR Workshop Proceedings (CEUR-WS.org), 2022

September 6, 2022

Guazzo A, Trescato I, Hazizaj E., Longato E, Dosso D, Faggioli G, Di Nunzio G M, Silvello G, Vettoretti M, Tavazzi E, Roversi C, Fariselli P, Madeira S C, Alves de Carvalho M, Chiò A, Dagliati A, Birolo G, Aidos H, Di Camillo B, and Ferro N. Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022. In: Barrón-Cedeño A, Da San Martino G, Degli Esposti M, Sebastiani F, Macdonald C, Pasi G, Hanbury A, Potthast M, Faggioli G, and Ferro N, (Eds.), Experimental IR Meets Multilinguality, Multimodality, and Interaction, Proceedings of the Thirteenth International Conference of the CLEF Association (CLEF 2022), Lecture Notes in Computer Science (LNCS) 2022

August 22, 2022

Trescato I, Guazzo A, Longato E, Hazizaj E, Roversi C, Tavazzi E, Vettoretti M, Di Camillo B. Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression. In: Faggioli G, Ferro N, Hanbury A, Potthast M (Eds.), CLEF 2022 Working Notes, CEUR Workshop Proceedings (CEUR-WS.org) 2022

January 14, 2022May 12, 2022

Guazzo A, Longato E, Fadini GP, Sparacino G, Battaggia A, Franco-Novelletto B, Cancian M, Fusello M, Avogaro A, Di Camillo B. Comparing the Predictive Power of Heart Failure Hospitalisation Risk Scores in the Diabetic Outpatient Clinic and Primary Care Settings. In: Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2021

November 16, 2021March 25, 2022

Trescato I, Tavazzi E, Vettoretti M, Vasta R, Chiò A, Di Camillo B. Identifying prototype model patients in Amyotrophic Lateral Sclerosis patients at diagnosis through Archetypal Analysis. In: Proc. 17th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB) 2021.

November 16, 2021March 25, 2022

Tavazzi E, Gatta R, Vallati M, Cotti Piccinelli S, Filosto M, Castellano M, Di Camillo B. Inspecting Progression Trajectories in Amyotrophic Lateral Sclerosis using Process Mining. In: Proc. 17th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB) 2021

July 29, 2021September 28, 2021

Roversi C, Tavazzi E, Vettoretti M, Di Camillo B. A Dynamic Bayesian Network model for simulating the progression to diabetes onset in the ageing population. In: Proc. 2021 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2021

June 16, 2021February 6, 2024

Longato E, Fadini GP, Sparacino G, Avogaro A, Di Camillo B. Recurrent Neural Network to Predict Renal Function Impairment in Diabetic Patients via Longitudinal Routine Check-Up Data. In: Proc. of the 19th International Conference on Artificial Intelligence in Medicine (AIME) 2021.