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

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>

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Mahmoudreza Moein (22127153) (author)
مؤلفون آخرون: Alireza Golkarieh (22127156) (author), Isabella Vlassis (22127159) (author), Reza Saidi (22127162) (author), Michael Lioudis (22127165) (author)
منشور في: 2025
الموضوعات:
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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