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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...
Uloženo v:
| Vydáno v: | J Transl Med |
|---|---|
| Hlavní autoři: | , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BioMed Central
2020
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| Témata: | |
| On-line přístup: | 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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