Baseline characteristics of recipients’ comparison before and after data match by the unsupervised machine learning algorithm.

<p>Baseline characteristics of recipients’ comparison before and after data match by the unsupervised machine learning algorithm.</p>

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Bibliographic Details
Main Author:	Mahmoudreza Moein (22127153) (author)
Other Authors:	Alireza Golkarieh (22127156) (author), Isabella Vlassis (22127159) (author), Reza Saidi (22127162) (author), Michael Lioudis (22127165) (author)
Published:	2025
Subjects:	Medicine Cell Biology Genetics Biotechnology Developmental Biology Marine Biology Infectious Diseases transplant kidney function reduce wait times lower healthcare costs key baseline characteristics including recipient age improve patient quality body mass index appropriate recipient selection 98 &# 8211 85 &# 8211 lower survival rates 624 matched cases year allograft survival xlink "> transplantation significantly impact outcomes lower kdpi scores group versus 58 continuous metric used asian recipients showed 97 %), employing 100 %) compared xlink "> highest survival allograft failure 819 cases viable option united states united network study aims organ sharing nuanced approach novel case mean follow may 2020 match recipients longer post leading cause january 2000 hla mismatch findings support donor pool deceased donors circulatory death chronic rejection 69 %). 5 years 001 ).
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