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Improved Glomerular Filtration Rate Estimation by an Artificial Neural Network
BACKGROUND: Accurate evaluation of glomerular filtration rates (GFRs) is of critical importance in clinical practice. A previous study showed that models based on artificial neural networks (ANNs) could achieve a better performance than traditional equations. However, large-sample cross-sectional su...
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| Autors principals: | , , , , , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2013
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3596400/ https://ncbi.nlm.nih.gov/pubmed/23516450 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0058242 |
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