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Pubblication

2023 "Comparison of discrimination and calibration performance of ECG-based machine learning models for prediction of new-onset atrial fibrillation", BMC *Med Res Methodol , https://doi.org/10.1186/s12874-023-01989-3.
2023 "Deep-learning-based prognostic modeling for incident heart failure in patients with diabetes using electronic health records: A retrospective cohortstudy", PloS One, https://doi.org/10.1371/journal.pone.0281878.
2022 "Deep artificial neural network for prediction of atrial fibrillation through the analysis of 12-leads standard ECG", arXiv,https://doi.org/10.48550/arXiv.2202.05676.
2022 "Patient adherence to drug treatment in a community based-sample of patients with chronic heart failure", International Journal of Cardiology, https://doi.org/10.1016/j.ijcard.2021.11.018.
2021 "Interpretability of time-series deep learning models: A study in cardiovascular patients admitted to Intensive care unit", Journal of Biomedical Informatics,https://doi.org/10.1016/j.jbi.2021.103876.
2020 "CHA2DS2-VASc Score Predicts Adverse Outcome in Patients with Simple Congenital Heart Disease Regardless of Cardiac Rhythm", Pediatric Cardiology, https://doi.org/10.1007/s00246-020-02356-5.
2020 "Sex-related differences in chronic heart failure: a community-based study", Journal of Cardiovascular Medicine, https://doi.org/10.2459/jcm.0000000000001049.
2019 "Adherence to Disease-Modifying Therapy in Patients Hospitalized for HF: Findings from a Community-Based Study", American Journal of Cardiovascular Drugs, https://doi.org/10.1007/s40256-019-00367-z.
2019 "HF progression among outpatients with HF in a community setting", International Journal of Cardiology, https://doi.org/10.1016/j.ijcard.2018.08.049.
2017 "Multi-state modelling of heart failure care path: A population-based investigation from Italy", PlosONE, https://doi.org/10.1371/journal.pone.0179176