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Erica Tavazzi
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Late-onset and long-lasting immune-related adverse events from immune checkpoint-inhibitors: An overlooked aspect in immunotherapy
E Ghisoni, A Wicky, H Bouchaab, M Imbimbo, J Delyon, BG Moura, ...
European journal of cancer 149, 153-164, 2021
1292021
A Combined Interpolation and Weighted K-Nearest Neighbours Approach for the Imputation of Longitudinal ICU Laboratory Data
S Daberdaku, E Tavazzi, B Di Camillo
Journal of Healthcare Informatics Research 4 (2), 174-188, 2020
332020
Eleven quick tips for data cleaning and feature engineering
D Chicco, L Oneto, E Tavazzi
PLOS Computational Biology 18 (12), e1010718, 2022
322022
Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approach
E Tavazzi, S Daberdaku, R Vasta, A Calvo, A Chiò, B Di Camillo
BMC Medical Informatics and Decision Making 20 (Suppl 5), 174, 2020
292020
Distance rendering and perception of nearby virtual sound sources with a near-field filter model
S Spagnol, E Tavazzi, F Avanzini
Applied Acoustics 115, 61-73, 2017
262017
Overview of iDPP@ CLEF 2022: the intelligent disease progression prediction challenge
A Guazzo, I Trescato, E Longato, E Hazizaj, D Dosso, G Faggioli, ...
CEUR WORKSHOP PROCEEDINGS 3180, 1130-1210, 2022
232022
Overview of iDPP@ CLEF 2023: the intelligent disease progression prediction challenge
G Faggioli, A Guazzo, S Marchesin, L Menotti, I Trescato, A Helena, ...
CEUR WORKSHOP PROCEEDINGS 3497, 1123-1164, 2023
212023
What role can process mining play in recurrent clinical guidelines issues? a position paper
R Gatta, M Vallati, C Fernandez-Llatas, A Martinez-Millana, S Orini, ...
International journal of environmental research and public health 17 (18), 6616, 2020
212020
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review
E Tavazzi, E Longato, M Vettoretti, H Aidos, I Trescato, C Roversi, ...
Artificial Intelligence in Medicine 142, 102588, 2023
182023
Predicting functional impairment trajectories in amyotrophic lateral sclerosis: a probabilistic, multifactorial model of disease progression
E Tavazzi, S Daberdaku, A Zandonà, R Vasta, B Nefussy, C Lunetta, ...
Journal of neurology 269 (7), 3858-3878, 2022
172022
Intelligent disease progression prediction: overview of iDPP@ CLEF 2022
A Guazzo, I Trescato, E Longato, E Hazizaj, D Dosso, G Faggioli, ...
International Conference of the Cross-Language Evaluation Forum for European …, 2022
142022
A process mining approach to statistical analysis: Application to a real-world advanced melanoma dataset
E Tavazzi, CL Gerard, O Michielin, A Wicky, R Gatta, MA Cuendet
Process Mining Workshops: ICPM 2020 International Workshops, Padua, Italy …, 2021
142021
Leveraging process mining for modeling progression trajectories in amyotrophic lateral sclerosis
E Tavazzi, R Gatta, M Vallati, S Cotti Piccinelli, M Filosto, A Padovani, ...
BMC Medical Informatics and Decision Making 22 (Suppl 6), 346, 2022
112022
Intelligent disease progression prediction: overview of iDPP@ CLEF 2023
G Faggioli, A Guazzo, S Marchesin, L Menotti, I Trescato, H Aidos, ...
International Conference of the Cross-Language Evaluation Forum for European …, 2023
102023
Intelligent disease progression prediction: overview of iDPP@ CLEF 2024
G Birolo, P Bosoni, G Faggioli, H Aidos, R Bergamaschi, P Cavalla, ...
International Conference of the Cross-Language Evaluation Forum for European …, 2024
82024
A differential process mining analysis of COVID-19 management for cancer patients
MA Cuendet, R Gatta, A Wicky, CL Gerard, M Dalla-Vale, E Tavazzi, ...
Frontiers in Oncology 12, 1043675, 2022
82022
Interpolation and K-nearest neighbours combined imputation for longitudinal ICU laboratory data
S Daberdaku, E Tavazzi, B Di Camillo
2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-3, 2019
82019
Overview of iDPP@ CLEF 2024: the intelligent disease progression prediction challenge
G Birolo, P Bosoni, G Faggioli, H Aidos, R Bergamaschi, P Cavalla, ...
Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024 …, 2024
72024
Baseline Machine Learning Approaches To Predict Multiple Sclerosis Disease Progression.
A Guazzo, I Trescato, E Longato, E Tavazzi, M Vettoretti, B Di Camillo
CLEF (Working Notes), 1219-1232, 2023
62023
A Dynamic Bayesian Network model for simulating the progression to diabetes onset in the ageing population
C Roversi, E Tavazzi, M Vettoretti, B Di Camillo
2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021
62021
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