Chiara Roversi

According to our database, Chiara Roversi authored at least 7 papers between 2021 and 2023.

Collaborative distances:

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

2023

A model to forecast the two-year variation of subjective wellbeing in the elderly population.

Isotta Trescato, Chiara Roversi, Martina Vettoretti, Barbara Di Camillo, Andrea Facchinetti

BMC Medical Informatics Decis. Mak., December, 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

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

Predicting hypertension onset using logistic regression models with labs and/or easily accessible variables: the role of blood pressure measurements.

Chiara Roversi, Martina Vettoretti, Barbara Di Camillo, Andrea Facchinetti

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