Improving accuracy of estimating glomerular filtration rate using artificial neural network: model development and validation

BACKGROUND: The performance of previously published glomerular filtration rate (GFR) estimation equations degrades when directly used in Chinese population. We incorporated more independent variables and using complicated non-linear modeling technology (artificial neural network, ANN) to develop a m...

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Detaylı Bibliyografya
Yayımlandı:J Transl Med
Asıl Yazarlar: Li, Ningshan, Huang, Hui, Qian, Han-Zhu, Liu, Peijia, Lu, Hui, Liu, Xun
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: BioMed Central 2020
Konular:
Research
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC7063770/
https://ncbi.nlm.nih.gov/pubmed/32156297
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12967-020-02287-y
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