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Ruggiero Seccia

Showing results (1-10 of 4) with videos related to

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Life (Basel, Switzerland)|February 10, 2021
Machine Learning Use for Prognostic Purposes in Multiple SclerosisRuggiero Seccia, Silvia Romano, Marco Salvetti, et al.
Plos One|March 21, 2020
Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosisRuggiero Seccia, Daniele Gammelli, Fabio Dominici, et al.
Data in Brief|April 8, 2020
Data of patients undergoing rehabilitation programsRuggiero Seccia, Marco Boresta, Federico Fusco, et al.
Clinical Research in Cardiology : Official Journal of the German Cardiac Society|April 2, 2023
A machine-learning based bio-psycho-social model for the prediction of non-obstructive and obstructive coronary artery diseaseValeria Raparelli, Giulio Francesco Romiti, Giulia Di Teodoro, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Life (Basel, Switzerland)|February 10, 2021
Machine Learning Use for Prognostic Purposes in Multiple SclerosisRuggiero Seccia, Silvia Romano, Marco Salvetti, et al.
Plos One|March 21, 2020
Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosisRuggiero Seccia, Daniele Gammelli, Fabio Dominici, et al.
Data in Brief|April 8, 2020
Data of patients undergoing rehabilitation programsRuggiero Seccia, Marco Boresta, Federico Fusco, et al.
Clinical Research in Cardiology : Official Journal of the German Cardiac Society|April 2, 2023
A machine-learning based bio-psycho-social model for the prediction of non-obstructive and obstructive coronary artery diseaseValeria Raparelli, Giulio Francesco Romiti, Giulia Di Teodoro, et al.
Pageof 1