Cardiovascular Risk Prediction in Ankylosing Spondylitis: From Traditional Scores to Machine Learning Assessment

Authors: Luca Navarini, Francesco Caso, Luisa Costa, Damiano Currado, Liliana Stola, Fabio Perrotta, Lorenzo Delfino, Michela Sperti, Marco A. Deriu, Piero Ruscitti, Viktoriya Pavlych, Addolorata Corrado, Giacomo Di Benedetto, Marco Tasso, Massimo Ciccozzi, Alice Laudisio, Claudio Lunardi, Francesco Paolo Cantatore, Ennio Lubrano, Roberto Giacomelli, Raffaele Scarpa, Antonella Afeltra

Source: Rheumatology and Therapy, Vol 7, Iss 4, Pp 867-882 (2020)

Subject Terms: Ankylosing spondylitis, Cardiovascular risk, C-reactive protein, Machine learning, Diseases of the musculoskeletal system, RC925-935

File Description: electronic resource

Relation: https://doaj.org/toc/2198-6576; https://doaj.org/toc/2198-6584

Access URL: https://doaj.org/article/c4d5142579f8425e950c00599ad14534

A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification

Authors: Umberto Michelucci, Michela Sperti, Dario Piga, Francesca Venturini, Marco A. Deriu

Source: Algorithms, Vol 14, Iss 11, p 301 (2021)

Subject Terms: machine learning, intrinsic limits, ROC curve, binary classification, area under the curve, Naïve Bayes classifier, Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://www.mdpi.com/1999-4893/14/11/301; https://doaj.org/toc/1999-4893

Access URL: https://doaj.org/article/add5c84becaa4f53811e8bb6d2edb647

Exploration of Spanish Olive Oil Quality with a Miniaturized Low-Cost Fluorescence Sensor and Machine Learning Techniques

Authors: Francesca Venturini, Michela Sperti, Umberto Michelucci, Ivo Herzig, Michael Baumgartner, Josep Palau Caballero, Arturo Jimenez, Marco Agostino Deriu

Source: Foods, Vol 10, Iss 5, p 1010 (2021)

Subject Terms: fluorescence spectroscopy, fluorescence sensor, olive oil, machine learning, artificial neural networks, quality control, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/2304-8158/10/5/1010; https://doaj.org/toc/2304-8158

Access URL: https://doaj.org/article/5354cb7f08844fa597941941e74f8c4d