Prediction of Acute Kidney Injury after Liver Transplantation: Machine Learning Approaches vs. Logistic Regression Model

Acute kidney injury (AKI) after liver transplantation has been reported to be associated with increased mortality. Recently, machine learning approaches were reported to have better predictive ability than the classic statistical analysis. We compared the performance of machine learning approaches w...

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Detalles Bibliográficos
Autores principales: Lee, Hyung-Chul, Yoon, Soo Bin, Yang, Seong-Mi, Kim, Won Ho, Ryu, Ho-Geol, Jung, Chul-Woo, Suh, Kyung-Suk, Lee, Kook Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6262324/
https://www.ncbi.nlm.nih.gov/pubmed/30413107
http://dx.doi.org/10.3390/jcm7110428

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6262324/
https://www.ncbi.nlm.nih.gov/pubmed/30413107
http://dx.doi.org/10.3390/jcm7110428

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