Predicting the outcome of renal transplantation.
Renal transplantation has dramatically improved the survival rate of hemodialysis patients. However, with a growing proportion of marginal organs and improved immunosuppression, it is necessary to verify that the established allocation system, mostly based on human leukocyte antigen matching, still meets today's needs. The authors turn to machine-learning techniques to predict, from donor-recipient data, the estimated glomerular filtration rate (eGFR) of the recipient 1 year after transplantation.
Author(s): Lasserre, Julia, Arnold, Steffen, Vingron, Martin, Reinke, Petra, Hinrichs, Carl
DOI: 10.1136/amiajnl-2010-000004