Cammarata, R.; Ruffini, F.; Catamerò, A.; Melone, G.; Costa, G.; Angeletti, S.; Seghetti, F.; La Vaccara, V.; Coppola, R.; Soda, P.;
et al. Machine Learning for Predicting the Low Risk of Postoperative Pancreatic Fistula After Pancreaticoduodenectomy: Toward a Dynamic and Personalized Postoperative Management Strategy. Cancers 2025, 17, 1846.
https://doi.org/10.3390/cancers17111846
AMA Style
Cammarata R, Ruffini F, Catamerò A, Melone G, Costa G, Angeletti S, Seghetti F, La Vaccara V, Coppola R, Soda P,
et al. Machine Learning for Predicting the Low Risk of Postoperative Pancreatic Fistula After Pancreaticoduodenectomy: Toward a Dynamic and Personalized Postoperative Management Strategy. Cancers. 2025; 17(11):1846.
https://doi.org/10.3390/cancers17111846
Chicago/Turabian Style
Cammarata, Roberto, Filippo Ruffini, Alberto Catamerò, Gennaro Melone, Gianluca Costa, Silvia Angeletti, Federico Seghetti, Vincenzo La Vaccara, Roberto Coppola, Paolo Soda,
and et al. 2025. "Machine Learning for Predicting the Low Risk of Postoperative Pancreatic Fistula After Pancreaticoduodenectomy: Toward a Dynamic and Personalized Postoperative Management Strategy" Cancers 17, no. 11: 1846.
https://doi.org/10.3390/cancers17111846
APA Style
Cammarata, R., Ruffini, F., Catamerò, A., Melone, G., Costa, G., Angeletti, S., Seghetti, F., La Vaccara, V., Coppola, R., Soda, P., Guarrasi, V., & Caputo, D.
(2025). Machine Learning for Predicting the Low Risk of Postoperative Pancreatic Fistula After Pancreaticoduodenectomy: Toward a Dynamic and Personalized Postoperative Management Strategy. Cancers, 17(11), 1846.
https://doi.org/10.3390/cancers17111846