A noninvasive artificial neural network model to predict IgA nephropathy risk in Chinese population

Renal biopsy is the gold standard for Immunoglobulin A nephropathy (IgAN) but poses several problems. Thus, we aimed to establish a noninvasive model for predicting the risk probability of IgAN by analyzing routine and serological parameters. A total of 519 biopsy-diagnosed IgAN and 211 non-IgAN pat...

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Detalles Bibliográficos
Autores principales: Hou, Jie, Fu, Shaojie, Wang, Xueyao, Liu, Juan, Xu, Zhonggao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117316/
https://www.ncbi.nlm.nih.gov/pubmed/35585099
http://dx.doi.org/10.1038/s41598-022-11964-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117316/
https://www.ncbi.nlm.nih.gov/pubmed/35585099
http://dx.doi.org/10.1038/s41598-022-11964-5

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