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- Reddavid, R.
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- Moro, J.
- De Nardi, P.
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- Persiani, R.
- Solaini, L.
- Pafundi, D. P.
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- Piccoli, M.
- Ferrero, A.
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- Rosati, R.
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- Reddavid, R.
- Elmore, U.
- Moro, J.
- De Nardi, P.
- Biondi, A.
- Persiani, R.
- Solaini, L.
- Pafundi, D. P.
- Cianflocca, D.
- Sasia, D.
- Milone, M.
- Turri, G.
- Mineccia, M.
- Pecchini, F.
- Gallo, G.
- Rega, D.
- Gili, S.
- Maiello, F.
- Barberis, A.
- Costanzo, F.
- Ortenzi, M.
- Divizia, A.
- Foppa, C.
- Anania, G.
- Spinelli, A.
- Sica, G. S.
- Guerrieri, M.
- Polastri, R.
- Bianco, F.
- Delrio, P.
- Sammarco, G.
- Piccoli, M.
- Ferrero, A.
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- Borghi, F.
- Coco, C.
- Cavaliere, D.
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- Reddavid, R.
- Elmore, U.
- Moro, J.
- De Nardi, P.
- Biondi, A.
- Persiani, R.
- Solaini, L.
- Pafundi, D. P.
- Cianflocca, D.
- Sasia, D.
- Milone, M.
- Turri, G.
- Mineccia, M.
- Pecchini, F.
- Gallo, G.
- Rega, D.
- Gili, S.
- Maiello, F.
- Barberis, A.
- Costanzo, F.
- Ortenzi, M.
- Divizia, A.
- Foppa, C.
- Anania, G.
- Spinelli, A.
- Sica, G. S.
- Guerrieri, M.
- Polastri, R.
- Bianco, F.
- Delrio, P.
- Sammarco, G.
- Piccoli, M.
- Ferrero, A.
- Pedrazzani, C.
- Manigrasso, M.
- Borghi, F.
- Coco, C.
- Cavaliere, D.
- D’Ugo, D.
- Rosati, R.
- Azzolina, D.
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Journal: Cancers, 2025
Volume: 17
Number: 1294
1294
Article:
Dynamic Prediction of Rectal Cancer Relapse and Mortality Using a Landmarking-Based Machine Learning Model: A Multicenter Retrospective Study from the Italian Society of Surgical Oncology—Colorectal Cancer Network Collaborative Group
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Rossella Reddavid, Ugo Elmore, Jacopo Moro, Paola De Nardi, Alberto Biondi, Roberto Persiani, Leonardo Solaini, Donato P. Pafundi, Desiree Cianflocca, Diego Sasia, Marco Milone, Giulia Turri, Michela Mineccia, Francesca Pecchini, Gaetano Gallo, Daniela Rega, Simona Gili, Fabio Maiello, Andrea Barberis, Federico Costanzo, Monica Ortenzi, Andrea Divizia, Caterina Foppa, Gabriele Anania, Antonino Spinelli, Giuseppe S. Sica, Mario Guerrieri, Roberto Polastri, Francesco Bianco, Paolo Delrio, Giuseppe Sammarco, Micaela Piccoli, Alessandro Ferrero, Corrado Pedrazzani, Michele Manigrasso, Felice Borghi, Claudio Coco, Davide Cavaliere, Domenico D’Ugo, Riccardo Rosati and Danila Azzolinaadd
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Cite
Reddavid, R.; Elmore, U.; Moro, J.; De Nardi, P.; Biondi, A.; Persiani, R.; Solaini, L.; Pafundi, D.P.; Cianflocca, D.; Sasia, D.; et al. Dynamic Prediction of Rectal Cancer Relapse and Mortality Using a Landmarking-Based Machine Learning Model: A Multicenter Retrospective Study from the Italian Society of Surgical Oncology—Colorectal Cancer Network Collaborative Group. Cancers 2025, 17, 1294. https://doi.org/10.3390/cancers17081294
Reddavid R, Elmore U, Moro J, De Nardi P, Biondi A, Persiani R, Solaini L, Pafundi DP, Cianflocca D, Sasia D, et al. Dynamic Prediction of Rectal Cancer Relapse and Mortality Using a Landmarking-Based Machine Learning Model: A Multicenter Retrospective Study from the Italian Society of Surgical Oncology—Colorectal Cancer Network Collaborative Group. Cancers. 2025; 17(8):1294. https://doi.org/10.3390/cancers17081294
Chicago/Turabian StyleReddavid, Rossella, Ugo Elmore, Jacopo Moro, Paola De Nardi, Alberto Biondi, Roberto Persiani, Leonardo Solaini, Donato P. Pafundi, Desiree Cianflocca, Diego Sasia, and et al. 2025. "Dynamic Prediction of Rectal Cancer Relapse and Mortality Using a Landmarking-Based Machine Learning Model: A Multicenter Retrospective Study from the Italian Society of Surgical Oncology—Colorectal Cancer Network Collaborative Group" Cancers 17, no. 8: 1294. https://doi.org/10.3390/cancers17081294
APA StyleReddavid, R., Elmore, U., Moro, J., De Nardi, P., Biondi, A., Persiani, R., Solaini, L., Pafundi, D. P., Cianflocca, D., Sasia, D., Milone, M., Turri, G., Mineccia, M., Pecchini, F., Gallo, G., Rega, D., Gili, S., Maiello, F., Barberis, A., ... Azzolina, D. (2025). Dynamic Prediction of Rectal Cancer Relapse and Mortality Using a Landmarking-Based Machine Learning Model: A Multicenter Retrospective Study from the Italian Society of Surgical Oncology—Colorectal Cancer Network Collaborative Group. Cancers, 17(8), 1294. https://doi.org/10.3390/cancers17081294
