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Machine learning outperforms traditional statistical methods in predicting kidney transplant outcomes: Turkiye multicenter cohort study.

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dc.contributor.authorTabatabaei Hosseini, Seyed Amir
dc.contributor.authorDheir, Hamad
dc.contributor.authorCakir, Ulkem
dc.contributor.authorKocak, Huseyin
dc.contributor.authorCeltik, Aygul
dc.contributor.authorSinangil, Ayse
dc.contributor.authorKumru, Gizem
dc.contributor.authorTuncbag, Nurcan
dc.contributor.authorTurkmen, Aydin
dc.contributor.authorSusal, Caner
dc.contributor.authorDemir, Erol
dc.date.accessioned2026-11-05T11:00:50Z
dc.date.issued2026
dc.description.issue9S
dc.description.pagesS707-S707
dc.description.volume110
dc.identifier.doi10.1097/01.tp.0001253736.71048.07
dc.identifier.issn0041-1337
dc.identifier.issn1534-6080
dc.identifier.urihttps://doi.org/10.1097/01.tp.0001253736.71048.07
dc.identifier.urihttps://openaccess.acibadem.edu.tr/handle/11443/10569
dc.identifier.wosWOS:001863753000022
dc.language.isoen
dc.publisherLIPPINCOTT WILLIAMS & WILKINS
dc.relation.conference31st International Congress of the Transplantation-Society
dc.relation.hasversion10.1097/01.tp.0001253736.71048.07
dc.relation.ispartofTRANSPLANTATION
dc.subjectImmunology
dc.subjectSurgery
dc.subjectTransplantation
dc.titleMachine learning outperforms traditional statistical methods in predicting kidney transplant outcomes: Turkiye multicenter cohort study.
dc.typeMeeting Abstract
oaire.citation.editionScience Citation Index Expanded (SCI-EXPANDED)
oaire.citation.editionConference Proceedings Citation Index - Science (CPCI-S)
oaire.citation.endPageS707
oaire.citation.issue9S
oaire.citation.startPageS707
oaire.citation.volume110
person.identifier.ridAAG-6932-2020
person.identifier.ridX-5515-2018
person.identifier.ridQAY-6791-2026
person.identifier.ridD-3383-2011
person.identifier.ridA-7873-2016
person.identifier.ridC-7482-2016
person.identifier.ridJAC-4565-2023
person.identifier.ridCAH-8663-2022

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