Artificial Intelligence Methods to Estimate Overall Mortality and Non-Relapse Mortality Following Allogeneic Hematopoietic Cell Transplantation in the Modern Era: An EBMT Transplant Complications Working Party Study
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creator | Rius Sansalvador, Blanca Mussetti, Alberto Moreno, Victor Peczynski, Christophe Polge, Emmanuelle Kroeger, Nicolaus Blaise, Didier de Latour, Regis Peffault Kulagin, Alexander D Mousavi, Ashrafsadat Stelljes, Matthias Hamladji, Rose-Marie Bornhaeuser, Martin Salmenniemi, Urpu Sengeloev, Henrik Forcade, Edouard Platzbecker, Uwe Remenyi, Peter Angelucci, Emanuele Chevallier, Patrice Yakoub-Agha, Ibrahim Craddock, Charles Ciceri, Fabio Schroeder, Thomas Aljurf, Mahmoud Moiseev, Ivan Penack, Olaf Schoemans, Helene Mohty, Mohamad Glass, Bertram Sureda, Anna Basak, Grzegorz W Peric, Zinaida |
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source | Lirias (KU Leuven Association); EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
title | Artificial Intelligence Methods to Estimate Overall Mortality and Non-Relapse Mortality Following Allogeneic Hematopoietic Cell Transplantation in the Modern Era: An EBMT Transplant Complications Working Party Study |
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