Improved Glomerular Filtration Rate Estimation by an Artificial Neural Network

BACKGROUND: Accurate evaluation of glomerular filtration rates (GFRs) is of critical importance in clinical practice. A previous study showed that models based on artificial neural networks (ANNs) could achieve a better performance than traditional equations. However, large-sample cross-sectional su...

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Detalles Bibliográficos
Autores principales: Liu, Xun, Pei, Xiaohua, Li, Ningshan, Zhang, Yunong, Zhang, Xiang, Chen, Jinxia, Lv, Linsheng, Ma, Huijuan, Wu, Xiaoming, Zhao, Weihong, Lou, Tanqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3596400/
https://www.ncbi.nlm.nih.gov/pubmed/23516450
http://dx.doi.org/10.1371/journal.pone.0058242

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3596400/
https://www.ncbi.nlm.nih.gov/pubmed/23516450
http://dx.doi.org/10.1371/journal.pone.0058242

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