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.

Simple Summary: Rectal cancer relapse after curative surgery usually results in poorer survival and quality of life, so early identification of patients at high risk of relapse from rectal tumors is crucial. It is essential to offer risk-based recommendations that address the unique needs of survivo...

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Publicado en:	Cancers Vol. 17; no. 8; pp. 1294 - 1315
Autores principales:	Reddavid, Rossella, Elmore, Ugo, Moro, Jacopo, De Nardi, Paola, Biondi, Alberto, Persiani, Roberto, Solaini, Leonardo, Pafundi, Donato P., Cianflocca, Desiree, Sasia, Diego, Milone, Marco, Turri, Giulia, Mineccia, Michela, Pecchini, Francesca, Gallo, Gaetano, Rega, Daniela, Gili, Simona, Maiello, Fabio, Barberis, Andrea, Costanzo, Federico
Formato:	research tables/charts Journal Article
Publicado:	MDPI Apr2025
Acceso en línea:	Ver este registro en EBSCOhost