Dynamic prediction of renal survival among deeply phenotyped kidney transplant recipients using artificial intelligence: an observational, international, multicohort study-Reference-Cited by-同舟云学术

Dynamic prediction of renal survival among deeply phenotyped kidney transplant recipients using artificial intelligence: an observational, international, multicohort study

Published:2021-12 Issue:12 Volume:3 Page:e795-e805
ISSN:2589-7500
Container-title:The Lancet Digital Health
language:en
Short-container-title:The Lancet Digital Health

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,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^ORCID

Funder

Fondation Bettencourt Schueller

Publisher

Elsevier BV

Subject

Health Information Management,Decision Sciences (miscellaneous),Health Informatics,Medicine (miscellaneous)

Reference38 articles.

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2. Developing new immunosuppression for the next generation of transplant recipients: the path forward;Stegall;Am J Transplant,2016

3. Prediction system for risk of allograft loss in patients receiving kidney transplants: international derivation and validation study;Loupy;BMJ,2019

4. Relationship between eGFR decline and hard outcomes after kidney transplants;Clayton;J Am Soc Nephrol,2016

5. Estimated glomerular filtration rate decline as a predictor of dialysis in kidney transplant recipients;McCaughan;Am J Nephrol,2014

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