Noemi Scarpato

Machine learning approach to predict medication overuse in migraine patients

F. Guadagni, F. M. Zanzotto, P. Ferroni, 2020, Computational and structural biotechnology journal.

Active Informed Consent to Boost the Application of Machine Learning in Medicine

F. Guadagni, N. Forgó, F. M. Zanzotto, 2022, ArXiv.

Breast Cancer Prognosis Using a Machine Learning Approach

Fabio Massimo Zanzotto, Fiorella Guadagni, Patrizia Ferroni, 2019, Cancers.

Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey

F. Guadagni, A. Bueno-Crespo, F. M. Zanzotto, 2021, International journal of molecular sciences.

When will the mist clear? On the Interpretability of Machine Learning for Medical Applications: a survey pdf

Fabio Massimo Zanzotto, Adrian Iftene, Noemi Scarpato, 2020, ArXiv.

Risk Assessment for Venous Thromboembolism in Chemotherapy-Treated Ambulatory Cancer Patients

Fabio Massimo Zanzotto, Fiorella Guadagni, Patrizia Ferroni, 2017, Medical decision making : an international journal of the Society for Medical Decision Making.

Validation of a Machine Learning Approach for Venous Thromboembolism Risk Prediction in Oncology

Fabio Massimo Zanzotto, Fiorella Guadagni, Patrizia Ferroni, 2017, Disease markers.

RISK: A Random Optimization Interactive System Based on Kernel Learning for Predicting Breast Cancer Disease Progression

Fabio Massimo Zanzotto, Noemi Scarpato, Fiorella Guadagni, 2017, IWBBIO.

Validation of a Machine Learning Approach for Venous Thromboembolism Risk Prediction in Oncology

Fabio Massimo Zanzotto, F. Guadagni, S. Riondino, 2017, Disease markers.

Validation of a Machine Learning Approach for Venous Thromboembolism Risk Prediction in Oncology

Fabio Massimo Zanzotto, F. Guadagni, S. Riondino, 2017, Disease markers.