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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...
Autores principales: | Li, Ningshan, Huang, Hui, Qian, Han-Zhu, Liu, Peijia, Lu, Hui, Liu, Xun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063770/ https://www.ncbi.nlm.nih.gov/pubmed/32156297 http://dx.doi.org/10.1186/s12967-020-02287-y |
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