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 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 , Danila Azzolina Cancers（2025）
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rectal cancer, machine learning algorithm, relapse, metastasis, recurrence, landmark analysis, competing events
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