A Dashboard for Latent Class Trajectory Modeling: Application in Rheumatoid Arthritis. - Beatrice Amico; Arianna Dagliati; Darren Plant; Anne Barton; Niels Peek; Nophar Geifman (MedInfo, 2019)

A Reproducible ETL Approach for Window-based Prediction of Acute Kidney Injury in Critical Care Unit and Some Preliminary Results with Support Vector Machines. - Isabela A. Chiorean; Beatrice Amico; Carlo Combi; John H. Holmes (BIBM, 2021)

Discovering predictive trend-event patterns in temporal clinical data. - Matteo Mantovani 001; Beatrice Amico; Carlo Combi (SAC, 2021)

A 3-Window Framework for the Discovery and Interpretation of Predictive Temporal Functional Dependencies. - Beatrice Amico; Carlo Combi (AIME, 2022)

A manifesto on explainability for artificial intelligence in medicine. - Carlo Combi; Beatrice Amico; Riccardo Bellazzi; Andreas Holzinger; Jason H. Moore; Marinka Zitnik; John H. Holmes (Artif. Intell. Medicine, 2022)

Supporting the Prediction of AKI Evolution Through Interval-Based Approximate Predictive Functional Dependencies. - Beatrice Amico; Carlo Combi (AIME, 2023)

Discovering Predictive Dependencies on Multi-Temporal Relations. - Beatrice Amico; Carlo Combi; Romeo Rizzi; Pietro Sala (TIME, 2023)

Explainable temporal data mining techniques to support the prediction task in Medicine. - Beatrice Amico (2023)

Enhancing Business Process Models with Ethical Considerations. - Beatrice Amico; Carlo Combi; Anna Dalla Vecchia; Sara Migliorini; Barbara Oliboni; Elisa Quintarelli (EDOC Workshops, 2024)

Predictive mining of multi-temporal relations. - Beatrice Amico; Carlo Combi; Romeo Rizzi; Pietro Sala (Inf. Comput., 2024)

Knowledge Graphs for Clinical Data: Strategies and Challenges with an Application to MIMIC III Dataset. - Beatrice Amico; Carlo Combi (AIME (2), 2025)