  The burgeoning need for kidney transplantation mandates immediate attention.
Mismatch of deceased donor-recipient kidney leads to post-transplant death. To
ensure ideal kidney donor-recipient match and minimize post-transplant deaths,
the paper develops a prediction model that identifies factors that determine
the probability of success of renal transplantation, that is, if the kidney
procured from the deceased donor can be transplanted or discarded. The paper
conducts a study enveloping data for 584 imported kidneys collected from 12
transplant centers associated with an organ procurement organization located in
New York City, NY. The predicting model yielding best performance measures can
be beneficial to the healthcare industry. Transplant centers and organ
procurement organizations can take advantage of the prediction model to
efficiently predict the outcome of kidney transplantation. Consequently, it
will reduce the mortality rate caused by mismatching of donor-recipient kidney
transplantation during the surgery. Keywords
