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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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Hlavní autoři: Liu, Xun, Pei, Xiaohua, Li, Ningshan, Zhang, Yunong, Zhang, Xiang, Chen, Jinxia, Lv, Linsheng, Ma, Huijuan, Wu, Xiaoming, Zhao, Weihong, Lou, Tanqi
Médium: Artigo
Jazyk:Inglês
Vydáno: Public Library of Science 2013
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On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3596400/
https://ncbi.nlm.nih.gov/pubmed/23516450
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0058242
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