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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Detalles Bibliográficos
Autores principales: Liu, Xun, Chen, Yan-Ru, Li, Ning-shan, Wang, Cheng, Lv, Lin-Sheng, Li, Ming, Wu, Xiao-Ming, Lou, Tan-Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3766235/
https://www.ncbi.nlm.nih.gov/pubmed/23988079
http://dx.doi.org/10.1186/1471-2369-14-181

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3766235/
https://www.ncbi.nlm.nih.gov/pubmed/23988079
http://dx.doi.org/10.1186/1471-2369-14-181

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