Open AccessPredicting Kidney Discard Using Machine Learning
Author(s) -
Masoud Barah,
Sanjay Mehrotra
Publication year - 2021
Publication title -
transplantation
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.45
H-Index - 204
eISSN - 1534-6080
pISSN - 0041-1337
DOI - 10.1097/tp.0000000000003620
Subject(s) - adaboost , medicine , random forest , machine perfusion , receiver operating characteristic , logistic regression , support vector machine , machine learning , kidney , economic shortage , boosting (machine learning) , biopsy , artificial intelligence , urology , computer science , surgery , radiology , transplantation , linguistics , philosophy , government (linguistics) , liver transplantation
Despite the kidney supply shortage, 18%-20% of deceased donor kidneys are discarded annually in the United States. In 2018, 3569 kidneys were discarded.