학술논문
Dynamic prediction of renal survival among deeply phenotyped kidney transplant recipients using artificial intelligence: an observational, international, multicohort study
Document Type
Article
Author
Raynaud, Marc; Aubert, Olivier; Divard, Gillian; Reese, Peter P; Kamar, Nassim; Yoo, Daniel; Chin, Chen-Shan; Bailly, Élodie; Buchler, Matthias; Ladrière, Marc; Le Quintrec, Moglie; Delahousse, Michel; Juric, Ivana; Basic-Jukic, Nikolina; Crespo, Marta; Silva, Helio Tedesco, Jr; Linhares, Kamilla; Ribeiro de Castro, Maria Cristina; Soler Pujol, Gervasio; Empana, Jean-Philippe; Ulloa, Camilo; Akalin, Enver; Böhmig, Georg; Huang, Edmund; Stegall, Mark D; Bentall, Andrew J; Montgomery, Robert A; Jordan, Stanley C; Oberbauer, Rainer; Segev, Dorry L; Friedewald, John J; Jouven, Xavier; Legendre, Christophe; Lefaucheur, Carmen; Loupy, Alexandre
Source
In The Lancet Digital Health December 2021 3(12):e795-e805
Subject
Language
ISSN
2589-7500