Improved glomerular filtration rate estimation by an artificial neural network.

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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Bibliographic Details
Main Authors: Xun Liu, Xiaohua Pei, Ningshan Li, Yunong Zhang, Xiang Zhang, Jinxia Chen, Linsheng Lv, Huijuan Ma, Xiaoming Wu, Weihong Zhao, Tanqi Lou
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3596400?pdf=render

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http://europepmc.org/articles/PMC3596400?pdf=render

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