Identifying scenarios of benefit or harm from kidney transplantation during the COVID-19 pandemic: A stochastic simulation and machine learning study
Titel:
Identifying scenarios of benefit or harm from kidney transplantation during the COVID-19 pandemic: A stochastic simulation and machine learning study
Auteur:
Massie, Allan B. Boyarsky, Brian J. Werbel, William A. Bae, Sunjae Chow, Eric K.H. Avery, Robin K. Durand, Christine M. Desai, Niraj Brennan, Daniel Garonzik-Wang, Jacqueline M. Segev, Dorry L.
Verschenen in:
American journal of transplantation
Paginering:
Jaargang 20 () nr. 11 pagina's 2997-3007
Jaar:
2020
Inhoud:
Uitgever:
American Society of Transplantation & American Society of Transplant Surgeons. Published by Elsevier Inc. All rights reserved.