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Chiara Roversi
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Journal Articles
- 2024
- [j3]Chiara Roversi
, Nunzio Camerlingo
, Martina Vettoretti, Andrea Facchinetti
, Pratik Choudhary
, Giovanni Sparacino
, Simone Del Favero
:
Risk of hypoglycemia in type 1 diabetes management: An in-silico sensitivity analysis to assess and rank the quantitative impact of different behavioral factors. Comput. Methods Programs Biomed. 244: 107943 (2024) - 2023
- [j2]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
:
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review. Artif. Intell. Medicine 142: 102588 (2023) - [j1]Isotta Trescato
, Chiara Roversi, Martina Vettoretti, Barbara Di Camillo, Andrea Facchinetti:
A model to forecast the two-year variation of subjective wellbeing in the elderly population. BMC Medical Informatics Decis. Mak. 23(1): 253 (2023)
Conference and Workshop Papers
- 2022
- [c5]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:
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022. CLEF 2022: 395-422 - [c4]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:
Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge. CLEF (Working Notes) 2022: 1130-1210 - [c3]Isotta Trescato, Alessandro Guazzo, Enrico Longato, Enidia Hazizaj, Chiara Roversi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo:
Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression. CLEF (Working Notes) 2022: 1277-1293 - 2021
- [c2]Chiara Roversi, Erica Tavazzi
, Martina Vettoretti, Barbara Di Camillo:
A Dynamic Bayesian Network model for simulating the progression to diabetes onset in the ageing population. BHI 2021: 1-4 - [c1]Chiara Roversi, Martina Vettoretti, Barbara Di Camillo, Andrea Facchinetti:
Predicting hypertension onset using logistic regression models with labs and/or easily accessible variables: the role of blood pressure measurements. BHI 2021: 1-4
Coauthor Index
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