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Machine Learning Consensus Clustering of Morbidly Obese Kidney Transplant Recipients in the United States

Background: This study aimed to better characterize morbidly obese kidney transplant recipients, their clinical characteristics, and outcomes by using an unsupervised machine learning approach. Methods: Consensus cluster analysis was applied to OPTN/UNOS data from 2010 to 2019 based on recipient, do...

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Detalles Bibliográficos
Autores principales:	Thongprayoon, Charat, Mao, Shennen A., Jadlowiec, Caroline C., Mao, Michael A., Leeaphorn, Napat, Kaewput, Wisit, Vaitla, Pradeep, Pattharanitima, Pattharawin, Tangpanithandee, Supawit, Krisanapan, Pajaree, Qureshi, Fawad, Nissaisorakarn, Pitchaphon, Cooper, Matthew, Cheungpasitporn, Wisit
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9224965/ https://www.ncbi.nlm.nih.gov/pubmed/35743357 http://dx.doi.org/10.3390/jcm11123288

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