Clinical Phenotypes of Dual Kidney Transplant Recipients in the United States as Identified through...
Clinical Phenotypes of Dual Kidney Transplant Recipients in the United States as Identified through Machine Learning Consensus Clustering
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Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publisher
Switzerland: MDPI AG
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Contents
: Our study aimed to cluster dual kidney transplant recipients using an unsupervised machine learning approach to characterize donors and recipients better and to compare the survival outcomes across these various clusters.
: We performed consensus cluster analysis based on recipient-, donor-, and transplant-related characteristics in 2821 dual...
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Full title
Clinical Phenotypes of Dual Kidney Transplant Recipients in the United States as Identified through Machine Learning Consensus Clustering
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TN_cdi_doaj_primary_oai_doaj_org_article_60ce059b34a8489688e115222f749c44
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_60ce059b34a8489688e115222f749c44
Other Identifiers
ISSN
1648-9144,1010-660X
E-ISSN
1648-9144
DOI
10.3390/medicina58121831
