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Estimation of glomerular filtration rate by a radial basis function neural network in patients with type-2 diabetes mellitus
BACKGROUND: Accurate and precise estimates of glomerular filtration rate (GFR) are essential for clinical assessments, and many methods of estimation are available. We developed a radial basis function (RBF) network and assessed the performance of this method in the estimation of the GFRs of 207 pat...
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| Glavni autori: | , , , , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
BioMed Central
2013
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3766235/ https://ncbi.nlm.nih.gov/pubmed/23988079 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2369-14-181 |
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