Erica Tavazzi

According to our database, Erica Tavazzi authored at least 15 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review.

Erica Tavazzi, Enrico Longato, Martina Vettoretti, Helena Aidos, Isotta Trescato, Chiara Roversi, Andreia S. Martins, Eduardo N. Castanho, Ruben Branco, Diogo F. Soares, Alessandro Guazzo, Giovanni Birolo, Daniele Pala, Pietro Bosoni, Adriano Chiò, Umberto Manera, Mamede de Carvalho, Bruno Miranda, Marta Gromicho, Inês Alves, Riccardo Bellazzi, Arianna Dagliati, Piero Fariselli, Sara C. Madeira, Barbara Di Camillo

Artif. Intell. Medicine, August, 2023

Baseline Machine Learning Approaches To Predict Multiple Sclerosis Disease Progression.

Alessandro Guazzo, Isotta Trescato, Enrico Longato, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023.

Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.

Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis.

Enrico Longato, Erica Tavazzi, Adriano Chiò, Gabriele Mora, Giovanni Sparacino, Barbara Di Camillo

Proceedings of the Artificial Intelligence in Medicine, 2023

2022

Eleven quick tips for data cleaning and feature engineering.

Davide Chicco, Luca Oneto, Erica Tavazzi

PLoS Comput. Biol., December, 2022

Leveraging process mining for modeling progression trajectories in amyotrophic lateral sclerosis.

Erica Tavazzi, Roberto Gatta, Mauro Vallati, Stefano Cotti Piccinelli, Massimiliano Filosto, Alessandro Padovani, Maurizio Castellano, Barbara Di Camillo

BMC Medical Informatics Decis. Mak., November, 2022

Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression.

Isotta Trescato, Alessandro Guazzo, Enrico Longato, Enidia Hazizaj, Chiara Roversi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022.

Alessandro Guazzo, Isotta Trescato, Enrico Longato, Enidia Hazizaj, Dennis Dosso, Guglielmo Faggioli, Giorgio Maria Di Nunzio, Gianmaria Silvello, Martina Vettoretti, Erica Tavazzi, Chiara Roversi, Piero Fariselli, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge.

Alessandro Guazzo, Isotta Trescato, Enrico Longato, Enidia Hazizaj, Dennis Dosso, Guglielmo Faggioli, Giorgio Maria Di Nunzio, Gianmaria Silvello, Martina Vettoretti, Erica Tavazzi, Chiara Roversi, Piero Fariselli, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021

A Dynamic Bayesian Network model for simulating the progression to diabetes onset in the ageing population.

Chiara Roversi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020

Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approach.

Erica Tavazzi, Sebastian Daberdaku, Rosario Vasta, Andrea Calvo, Adriano Chiò, Barbara Di Camillo

BMC Medical Informatics Decis. Mak., 2020

A Combined Interpolation and Weighted K-Nearest Neighbours Approach for the Imputation of Longitudinal ICU Laboratory Data.

Sebastian Daberdaku, Erica Tavazzi, Barbara Di Camillo

J. Heal. Informatics Res., 2020

A Process Mining Approach to Statistical Analysis: Application to a Real-World Advanced Melanoma Dataset.

Erica Tavazzi, Camille L. Gerard, Olivier Michielin, Alexandre Wicky, Roberto Gatta, Michel A. Cuendet

Proceedings of the Process Mining Workshops, 2020

2019

Interpolation and K-Nearest Neighbours Combined Imputation for Longitudinal ICU Laboratory Data.

Sebastian Daberdaku, Erica Tavazzi, Barbara Di Camillo

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019