Identifying scenarios of benefit or harm from kidney transplantation during the COVID-19 pandemic: A stochastic simulation and machine learning study
Open Access
- 9 June 2020
- journal article
- research article
- Published by Elsevier BV in American Journal of Transplantation
- Vol. 20 (11), 2997-3007
- https://doi.org/10.1111/ajt.16117
Abstract
No abstract availableKeywords
Funding Information
- National Institute of Diabetes and Digestive and Kidney Diseases (K01DK101677, K23DK115908, K24DK101828)
This publication has 27 references indexed in Scilit:
- Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, ChinaJAMA, 2020
- First Case of 2019 Novel Coronavirus in the United StatesThe New England Journal of Medicine, 2020
- OPTN/SRTR 2018 Annual Data Report: KidneyAmerican Journal of Transplantation, 2020
- Mortality and Kidney Transplantation Outcomes Among Hepatitis C Virus–Seropositive Maintenance Dialysis Patients: A Retrospective Cohort StudyAmerican Journal of Kidney Diseases, 2019
- Kidney transplantation and waitlist mortality rates among candidates registered as willing to accept a hepatitis C infected kidneyTransplant Infectious Disease, 2017
- Big Data in Organ Transplantation: Registries and Administrative ClaimsAmerican Journal of Transplantation, 2014
- Association of Race and Age With Survival Among Patients Undergoing DialysisJama-Journal Of The American Medical Association, 2011
- Effective communication of standard errors and confidence intervalsBiostatistics, 2008
- SmcHD1, containing a structural-maintenance-of-chromosomes hinge domain, has a critical role in X inactivationNature Genetics, 2008
- Random ForestsMachine Learning, 2001