Publication:
P3.517: Machine learning outperforms traditional statistical methods in predicting kidney transplant outcomes: Türkiye multicenter cohort study

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dc.contributor.coauthorDheir, H.
dc.contributor.coauthorÇakir, Ü.
dc.contributor.coauthorKoçak, H.
dc.contributor.coauthorÇeltik, A.
dc.contributor.coauthorSinangil, A.
dc.contributor.coauthorKumru, G.
dc.contributor.coauthorTürkmen, A.
dc.contributor.departmentTIREX (Koç University Transplant Immunology Research Centre of Excellence)
dc.contributor.departmentSchool of Medicine
dc.contributor.departmentDepartment of Chemical and Biological Engineering
dc.contributor.kuauthorTabatabaei Hosseini, Seyed Amir
dc.contributor.kuauthorTunçbağ, Nurcan
dc.contributor.kuauthorSüsal, Caner
dc.contributor.kuauthorDemir, Erol
dc.contributor.schoolcollegeinstituteResearch Center
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteSCHOOL OF MEDICINE
dc.date.accessioned2026-09-15T10:54:33Z
dc.date.issued2026
dc.description.harvestedfromManual
dc.description.indexedbyN/A
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipN/A
dc.description.versionPublished Version
dc.identifier.ScopusPercentile79
dc.identifier.ScopusQuartileQ1
dc.identifier.WoSPercentile93.9
dc.identifier.WoSQuartileQ1
dc.identifier.doi10.1097/01.tp.0001253736.71048.07
dc.identifier.eissn1534-6080
dc.identifier.endpage-
dc.identifier.grantnoN/A
dc.identifier.issn0041-1337
dc.identifier.issue9S
dc.identifier.startpage-
dc.identifier.urihttp://doi.org/10.1097/01.tp.0001253736.71048.07
dc.identifier.urihttps://hdl.handle.net/20.500.14288/35363
dc.identifier.volume110
dc.languageeng
dc.publisherOvid Technologies (Wolters Kluwer Health)
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartofTransplantation
dc.relation.openaccessN/A
dc.subjectHealth sciences
dc.subjectMedicine
dc.subjectTransplantation
dc.subjectPhysical sciences
dc.subjectComputer science
dc.subjectArtificial intelligence
dc.subjectHealth professions
dc.subjectHealth information management
dc.titleP3.517: Machine learning outperforms traditional statistical methods in predicting kidney transplant outcomes: Türkiye multicenter cohort study
dc.typeJournal Article
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