Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Alessandro Rullo"'
Autor:
Patrizia Ferroni, Fabio M. Zanzotto, Noemi Scarpato, Antonella Spila, Luisa Fofi, Gabriella Egeo, Alessandro Rullo, Raffaele Palmirotta, Piero Barbanti, Fiorella Guadagni
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 18, Iss , Pp 1487-1496 (2020)
Machine learning (ML) is largely used to develop automatic predictors in migraine classification but automatic predictors for medication overuse (MO) in migraine are still in their infancy. Thus, to understand the benefits of ML in MO prediction, we
Externí odkaz:
https://doaj.org/article/e54009756a794769988ad947af78bbd4
Autor:
Fabio Massimo Zanzotto, Antonella Spila, Piero Barbanti, Gabriella Egeo, Patrizia Ferroni, Alessandro Rullo, Raffaele Palmirotta, Noemi Scarpato, Luisa Fofi, Fiorella Guadagni
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 1487-1496 (2020)
Computational and Structural Biotechnology Journal
Computational and Structural Biotechnology Journal
Graphical abstract
Highlights • Medication overuse is related to chronicization and medication-overuse headache. • Prediction of medication overuse (MO) is a challenge in the management of migraine. • Machine learning and random optimizati
Highlights • Medication overuse is related to chronicization and medication-overuse headache. • Prediction of medication overuse (MO) is a challenge in the management of migraine. • Machine learning and random optimizati
Autor:
Mario Roselli, Patrizia Ferroni, Silvia Riondino, Noemi Scarpato, Alessandro Rullo, Fabio Massimo Zanzotto, Fiorella Guadagni
Publikováno v:
Bioinformatics and Biomedical Engineering ISBN: 9783319561479
IWBBIO (1)
IWBBIO (1)
Evaluating disease progression risk is a key issue in medicine that has been revolutionized by the advent of machine learning approaches and the wide availability of medical data in electronic form. It is time to provide physicians with near-to-the-c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ddec66663e5a1ed91102a483929d78d
http://hdl.handle.net/2108/186390
http://hdl.handle.net/2108/186390
Publikováno v:
Journal of Volcanology and Geothermal Research. 48:103-113
The ground level in the Campi Flegrei caldera has never been stationary in the last 2,000 years. Historical data, and a nearly continuous tide-gauge record 20 years long, show that uplift and sinking have taken place on a variety of different time sc