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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...
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| Publicado no: | J Transl Med |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | 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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