Time to progression is the main predictor of survival in patients with high-risk nonmuscle invasive bladder cancer: Results from a machine learning-based analysis of a large multi-institutional database
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Published:2024-03
Issue:3
Volume:42
Page:69.e17-69.e25
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ISSN:1078-1439
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Container-title:Urologic Oncology: Seminars and Original Investigations
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language:en
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Short-container-title:Urologic Oncology: Seminars and Original Investigations
Author:
Porreca AnnamariaORCID, Di Nicola Marta, Lucarelli GiuseppeORCID, Dorin Vartolomei Mihai, Soria Francesco, Terracciano DanielaORCID, Mistretta Francesco Alessandro, Luzzago Stefano, Buonerba Carlo, Cantiello Francesco, Mari Andrea, Minervini Andrea, Veccia Alessandro, Antonelli Alessandro, Musi Gennaro, Hurle Rodolfo, Busetto Gian MariaORCID, Del Giudice Francesco, Ferretti Simone, Perdonà Sisto, Prete Paola Del, Porreca Angelo, Bove Pierluigi, Crisan Nicolae, Russo Giorgio IvanORCID, Damiano Rocco, Amparore Daniele, Porpiglia Francesco, Autorino RiccardoORCID, Piccinelli Mattia, Brescia Antonio, Tătaru Sabin OctavianORCID, Crocetto FeliceORCID, Giudice Arturo Lo, de Cobelli Ottavio, Schips Luigi, Ferro Matteo, Marchioni MicheleORCID
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