Mining Medical Data to Develop Clinical Decision Making Tools in Hemodialysis: Prediction of Cardiovascular Events and Feature Selection using a Random Forest Approach. - Jasmine Ion Titapiccolo; Manuela Ferrario; Sergio Cerutti; Carlo Barbieri; Flavio Mari; Emanuele Gatti; Maria G. Signorini (Int. J. Knowl. Discov. Bioinform., 2011)

Predictive modeling of cardiovascular complications in incident hemodialysis patients. - Jasmine Ion Titapiccolo; Manuela Ferrario; Carlo Barbieri; Daniele Marcelli; Flavio Mari; Emanuele Gatti; Sergio Cerutti; Padhraic Smyth; Maria G. Signorini (EMBC, 2012)

Mining Medical Data to Develop Clinical Decision Making Tools in Hemodialysis. - Jasmine Ion Titapiccolo; Manuela Ferrario; Sergio Cerutti; Maria G. Signorini; Carlo Barbieri; Flavio Mari; Emanuele Gatti (ICDM Workshops, 2012)

Self-Organising Maps: A new way to screen the level of satisfaction of dialysis patients. - José David Martín-Guerrero; Daniele Marcelli; Emilio Soria-Olivas; Flavio Mari; José María Martínez-Martínez; Isabel Soley Bech; Marcelino Martínez-Sober; Laura Scatizzi; Juan Gómez-Sanchís; Andrea Stopper; Antonio J. Serrano-López; Emanuele Gatti (Expert Syst. Appl., 2012)

Computational intelligence for the Balanced Scorecard: Studying performance trends of hemodialysis clinics. - Isabella Cattinelli; Elena Bolzoni; Milena Chermisi; Francesco Bellocchio; Carlo Barbieri; Flavio Mari; Claudia Amato; Marcus Menzer; Andrea Stopper; Emanuele Gatti (Artif. Intell. Medicine, 2013)

Artificial intelligence models to stratify cardiovascular risk in incident hemodialysis patients. - Jasmine Ion Titapiccolo; Manuela Ferrario; Sergio Cerutti; Carlo Barbieri; Flavio Mari; Emanuele Gatti; Maria Gabriella Signorini (Expert Syst. Appl., 2013)

Optimization of anemia treatment in hemodialysis patients via reinforcement learning. - Pablo Escandell-Montero; Milena Chermisi; José María Martínez-Martínez; Juan Gómez-Sanchís; Carlo Barbieri; Emilio Soria-Olivas; Flavio Mari; Joan Vila-Francés; Andrea Stopper; Emanuele Gatti; José David Martín-Guerrero (Artif. Intell. Medicine, 2014)

Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques. - José María Martínez-Martínez; Pablo Escandell-Montero; Carlo Barbieri; Emilio Soria-Olivas; Flavio Mari; Marcelino Martínez-Sober; Claudia Amato; Antonio J. Serrano-López; Marcello Bassi; José Rafael Magdalena Benedicto; Andrea Stopper; José David Martín-Guerrero; et al. (Comput. Methods Programs Biomed., 2014)

A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis. - Carlo Barbieri; Flavio Mari; Andrea Stopper; Emanuele Gatti; Pablo Escandell-Montero; José María Martínez-Martínez; José David Martín-Guerrero (Comput. Biol. Medicine, 2015)

Enhanced prediction of hemoglobin concentration in a very large cohort of hemodialysis patients by means of deep recurrent neural networks. - Oscar J. Pellicer-Valero; Isabella Cattinelli; Luca Neri; Flavio Mari; José David Martín-Guerrero; Carlo Barbieri (Artif. Intell. Medicine, 2020)