GUIDETTI, VERONICA
GUIDETTI, VERONICA
Dipartimento di Scienze Fisiche, Informatiche e Matematiche
Automated Knowledge Graph Completion for Natural Language Understanding: Known Paths and Future Directions
2023 Buzzega, G.; Guidetti, V.; Mandreoli, F.; Mariotti, L.; Belli, A.; Lombardi, P.
Combining large language models with enterprise knowledge graphs: a perspective on enhanced natural language understanding
2024 Mariotti, L.; Guidetti, V.; Mandreoli, F.; Belli, A.; Lombardi, P.
Death After Liver Transplantation: Mining Interpretable Risk Factors for Survival Prediction
2023 Guidetti, V.; Dolci, G.; Franceschini, E.; Bacca, E.; Burastero, G. J.; Ferrari, D.; Serra, V.; Di Benedetto, F.; Mussini, C.; Mandreoli, F.
Impact of VRE-active perioperative prophylaxis in liver transplant patients colonized by Vancomycin-Resistant Enterococci
2025 Burastero, Giulia Jole; Wey, Emmanuel Q; Guidetti, Veronica; Cantergiani, Samuele; Menozzi, Valentina; Lo Porto, Davide; Cona, Andrea; Khan, Amreen; Serra, Valentina; Assirati, Giacomo; Guaraldi, Giovanni; Dolci, Giovanni; Meschiari, Marianna; Cervo, Adriana; Tosi, Martina; Gruttadauria, Salvatore; Pollok, Joerg-Matthias; Di Benedetto, Fabrizio; Mularoni, Alessandra; Mussini, Cristina; Franceschini, Erica
Real-world data mining meets clinical practice: Research challenges and perspective
2022 Mandreoli, Federica; Ferrari, Davide; Guidetti, Veronica; Motta, Federico; Missier, Paolo
Symbolic Regression for Transparent Clinical Decision Support: A Data-Centric Framework for Scoring System Development
2024 Guidetti, V.; Mandreoli, F.
Using interpretable machine learning to predict bloodstream infection and antimicrobial resistance in patients admitted to ICU: Early alert predictors based on EHR data to guide antimicrobial stewardship
2024 Ferrari, D.; Arina, P.; Edgeworth, J.; Curcin, V.; Guidetti, V.; Mandreoli, F.; Wang, Y.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Automated Knowledge Graph Completion for Natural Language Understanding: Known Paths and Future Directions | 1-gen-2023 | Buzzega, G.; Guidetti, V.; Mandreoli, F.; Mariotti, L.; Belli, A.; Lombardi, P. | |
Combining large language models with enterprise knowledge graphs: a perspective on enhanced natural language understanding | 1-gen-2024 | Mariotti, L.; Guidetti, V.; Mandreoli, F.; Belli, A.; Lombardi, P. | |
Death After Liver Transplantation: Mining Interpretable Risk Factors for Survival Prediction | 1-gen-2023 | Guidetti, V.; Dolci, G.; Franceschini, E.; Bacca, E.; Burastero, G. J.; Ferrari, D.; Serra, V.; Di Benedetto, F.; Mussini, C.; Mandreoli, F. | |
Impact of VRE-active perioperative prophylaxis in liver transplant patients colonized by Vancomycin-Resistant Enterococci | 1-gen-2025 | Burastero, Giulia Jole; Wey, Emmanuel Q; Guidetti, Veronica; Cantergiani, Samuele; Menozzi, Valentina; Lo Porto, Davide; Cona, Andrea; Khan, Amreen; Serra, Valentina; Assirati, Giacomo; Guaraldi, Giovanni; Dolci, Giovanni; Meschiari, Marianna; Cervo, Adriana; Tosi, Martina; Gruttadauria, Salvatore; Pollok, Joerg-Matthias; Di Benedetto, Fabrizio; Mularoni, Alessandra; Mussini, Cristina; Franceschini, Erica | |
Real-world data mining meets clinical practice: Research challenges and perspective | 1-gen-2022 | Mandreoli, Federica; Ferrari, Davide; Guidetti, Veronica; Motta, Federico; Missier, Paolo | |
Symbolic Regression for Transparent Clinical Decision Support: A Data-Centric Framework for Scoring System Development | 1-gen-2024 | Guidetti, V.; Mandreoli, F. | |
Using interpretable machine learning to predict bloodstream infection and antimicrobial resistance in patients admitted to ICU: Early alert predictors based on EHR data to guide antimicrobial stewardship | 1-gen-2024 | Ferrari, D.; Arina, P.; Edgeworth, J.; Curcin, V.; Guidetti, V.; Mandreoli, F.; Wang, Y. |