Davide Ferrari
Davide Ferrari
PhD Student @ King's College London - King's Center for Doctoral Training in Data Driven Healthcare
Verified email at - Homepage
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Cited by
Machine learning in predicting respiratory failure in patients with COVID-19 pneumonia—challenges, strengths, and opportunities in a global health emergency
D Ferrari, J Milic, R Tonelli, F Ghinelli, M Meschiari, S Volpi, M Faltoni, ...
PLoS One 15 (11), e0239172, 2020
Clinical prediction models for mortality in patients with covid-19: external validation and individual participant data meta-analysis
VMT de Jong, RZ Rousset, NE Antonio-Villa, AG Buenen, B Van Calster, ...
Bmj 378, 2022
Relationship between weight gain and insulin resistance in people living with HIV switching to integrase strand transfer inhibitors-based regimens
J Milic, S Renzetti, D Ferrari, S Barbieri, M Menozzi, F Carli, G Dolci, ...
Aids 36 (12), 1643-1653, 2022
Real-world data mining meets clinical practice: Research challenges and perspective
F Mandreoli, D Ferrari, V Guidetti, F Motta, P Missier
Frontiers in big Data 5, 1021621, 2022
Data-driven vs knowledge-driven inference of health outcomes in the ageing population: a case study
D Ferrari, G Guaraldi, F Mandreoli, R Martoglia, J Milić, M Paolo
CEUR Workshop Proceedings 2578, 2020
Real-world effectiveness of steroids in severe COVID-19: a retrospective cohort study
W Wang, LB Snell, D Ferrari, AL Goodman, NM Price, CD Wolfe, V Curcin, ...
BMC infectious diseases 22 (1), 776, 2022
Multi-objective symbolic regression for data-driven scoring system management
D Ferrari, V Guidetti, F Mandreoli
2022 IEEE International Conference on Data Mining (ICDM), 945-950, 2022
Predicting respiratory failure in patients with COVID-19 pneumonia: a case study from Northern Italy
D Ferrari, F Mandreoli, G Guaraldi, J Milić, P Missier
Proceedings of the First International AAI4H-Advances in Artificialá…, 2020
Multi-objective symbolic regression to generate data-driven, non-fixed structure and intelligible mortality predictors using ehr: Binary classification methodology andá…
D Ferrari, V Guidetti, Y Wang, V Curcin
AMIA Annual Symposium Proceedings 2022, 442, 2022
Data-driven, AI-based clinical practice: experiences, challenges, and research directions
D Ferrari, F Mandreoli, F Motta, P Missier
CEUR Workshop Proceedings 3194, 392-403, 2022
Question answering systems for health professionals at the point of care--a systematic review
G Kell, A Roberts, S Umansky, L Qian, D Ferrari, F Soboczenski, ...
arXiv preprint arXiv:2402.01700, 2024
Death After Liver Transplantation: Mining Interpretable Risk Factors for Survival Prediction
V Guidetti, G Dolci, E Franceschini, E Bacca, GJ Burastero, D Ferrari, ...
2023 IEEE 10th International Conference on Data Science and Advancedá…, 2023
Real-world effectiveness of steroids in severe COVID-19: longer courses associated with lower risk of death or ICU admission
W Wang, LB Snell, D Ferrari, AL Goodman, NM Price, CD Wolfe, V Curcin, ...
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