The impact of deceased donor maintenance on delayed kidney allograft function: A machine learning analysis

BACKGROUND: This study evaluated the risk factors for delayed graft function (DGF) in a country where its incidence is high, detailing donor maintenance-related (DMR) variables and using machine learning (ML) methods beyond the traditional regression-based models. METHODS: A total of 443 brain dead...

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Detalles Bibliográficos
Autores principales: Costa, Silvana Daher, de Andrade, Luis Gustavo Modelli, Barroso, Francisco Victor Carvalho, de Oliveira, Cláudia Maria Costa, Daher, Elizabeth De Francesco, Fernandes, Paula Frassinetti Castelo Branco Camurça, Esmeraldo, Ronaldo de Matos, de Sandes-Freitas, Tainá Veras
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004552/
https://www.ncbi.nlm.nih.gov/pubmed/32027717
http://dx.doi.org/10.1371/journal.pone.0228597

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004552/
https://www.ncbi.nlm.nih.gov/pubmed/32027717
http://dx.doi.org/10.1371/journal.pone.0228597

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