Publications by authors named "Erica Tavazzi"

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Exploring Relationships Between Maternal Characteristics, Continuous Glucose Monitoring Data, and Neonatal Hypoglycemia in Gestational Diabetes Pregnancies Using Probabilistic Modeling.
Giacomo Cappon, Marco Catanuso, Erica Tavazzi, Karen Elkind-Hirsch, Andrea Facchinetti

J Diabetes Sci Technol· November 2025

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The BRAINTEASER Datasets: Clinical, Wearable and Environmental Data for ALS & MS Progression Modeling.
Guglielmo Faggioli, Laura Menotti, Stefano Marchesin, Isotta Trescato, Lara Ahmad, Eleonora Tavazzi, Erica Tavazzi

Sci Data· November 2025

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DYNAMITE: Integrating Archetypal Analysis and Process Mining for Interpretable Disease Progression Modelling.
Isotta Trescato, Erica Tavazzi, Martina Vettoretti, Roberto Gatta, Rosario Vasta

IEEE J Biomed Health Inform· December 2024

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Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility study.
Alessandro Guazzo, Michele Atzeni, Elena Idi, Isotta Trescato, Erica Tavazzi

BMC Med Inform Decis Mak· October 2024

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GEN-RWD Sandbox: bridging the gap between hospital data privacy and external research insights with distributed analytics.
Benedetta Gottardelli, Roberto Gatta, Leonardo Nucciarelli, Andrada Mihaela Tudor, Erica Tavazzi

BMC Med Inform Decis Mak· June 2024

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A dynamic probabilistic model of the onset and interaction of cardio-metabolic comorbidities on an ageing adult population.
Chiara Roversi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo

Sci Rep· May 2024

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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

Artif Intell Med· August 2023

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Leveraging process mining for modeling progression trajectories in amyotrophic lateral sclerosis.
Erica Tavazzi, Roberto Gatta, Mauro Vallati, Stefano Cotti Piccinelli, Massimiliano Filosto

BMC Med Inform Decis Mak· February 2023

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Eleven quick tips for data cleaning and feature engineering.
Davide Chicco, Luca Oneto, Erica Tavazzi

PLoS Comput Biol· December 2022

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A differential process mining analysis of COVID-19 management for cancer patients.
Michel A Cuendet, Roberto Gatta, Alexandre Wicky, Camille L Gerard, Margaux Dalla-Vale, Erica Tavazzi

Front Oncol· December 2022

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Predicting functional impairment trajectories in amyotrophic lateral sclerosis: a probabilistic, multifactorial model of disease progression.
Erica Tavazzi, Sebastian Daberdaku, Alessandro Zandonà, Rosario Vasta, Beatrice Nefussy

J Neurol· July 2022

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What Role Can Process Mining Play in Recurrent Clinical Guidelines Issues? A Position Paper.
Roberto Gatta, Mauro Vallati, Carlos Fernandez-Llatas, Antonio Martinez-Millana, Stefania Orini, Erica Tavazzi

Int J Environ Res Public Health· September 2020

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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

BMC Med Inform Decis Mak· August 2020

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A Combined Interpolation and Weighted -Nearest Neighbours Approach for the Imputation of Longitudinal ICU Laboratory Data.
Sebastian Daberdaku, Erica Tavazzi, Barbara Di Camillo

J Healthc Inform Res· June 2020

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