Predicting Respiratory Failure in Patients with COVID-19 pneumonia: a case study from Northern Italy. - Davide Ferrari 004; Federica Mandreoli; Giovanni Guaraldi; Jovana Milic; Paolo Missier (AAI4H@ECAI, 2020)

Data-driven vs knowledge-driven inference of health outcomes in the ageing population: a case study. - Davide Ferrari 004; Giovanni Guaraldi; Federica Mandreoli; Riccardo Martoglia; Jovana Milic; Paolo Missier (EDBT/ICDT Workshops, 2020)

Multi-Objective Symbolic Regression for Data-Driven Scoring System Management. - Davide Ferrari 004; Veronica Guidetti; Federica Mandreoli (ICDM, 2022)

Data-Driven, AI-Based Clinical Practice: Experiences, Challenges, and Research Directions. - Davide Ferrari 004; Federica Mandreoli; Federico Motta; Paolo Missier (SEBD, 2022)

Real-world data mining meets clinical practice: Research challenges and perspective. - Federica Mandreoli; Davide Ferrari 004; Veronica Guidetti; Federico Motta; Paolo Missier (Frontiers Big Data, 2022)

Death After Liver Transplantation: Mining Interpretable Risk Factors for Survival Prediction. - Veronica Guidetti; Giovanni Dolci; Erica Franceschini; Erica Bacca; Giulia Jole Burastero; Davide Ferrari 004; Valentina Serra; Fabrizio Di Benedetto; Cristina Mussini; Federica Mandreoli (DSAA, 2023)

Distilling Clinical Scores with Symbolic Machine Learning: Frailty Index, an HIV Cohort Case Study. - Veronica Guidetti; Federico Motta; Jovana Milic; Davide Ferrari 004; Giovanni Guaraldi; Federica Mandreoli (ICHI, 2025)