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...

Descripción completa

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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9224965/
https://www.ncbi.nlm.nih.gov/pubmed/35743357
http://dx.doi.org/10.3390/jcm11123288

Ejemplares similares