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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Detalles Bibliográficos
Autores principales: Li, Ningshan, Huang, Hui, Qian, Han-Zhu, Liu, Peijia, Lu, Hui, Liu, Xun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063770/
https://www.ncbi.nlm.nih.gov/pubmed/32156297
http://dx.doi.org/10.1186/s12967-020-02287-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063770/
https://www.ncbi.nlm.nih.gov/pubmed/32156297
http://dx.doi.org/10.1186/s12967-020-02287-y

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