The future is coming: promising perspectives regarding the use of machine learning in renal transplantation

INTRODUCTION: The prediction of post transplantation outcomes is clinically important and involves several problems. The current prediction models based on standard statistics are very complex, difficult to validate and do not provide accurate prediction. Machine learning, a statistical technique th...

Descripción completa

Detalles Bibliográficos
Autores principales: Hannun, Pedro Guilherme Coelho, de Andrade, Luis Gustavo Modelli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Nefrologia 2018
Materias:
Perspectives/Opinion
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6699438/
https://www.ncbi.nlm.nih.gov/pubmed/30353909
http://dx.doi.org/10.1590/2175-8239-JBN-2018-0047

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6699438/
https://www.ncbi.nlm.nih.gov/pubmed/30353909
http://dx.doi.org/10.1590/2175-8239-JBN-2018-0047

Ejemplares similares