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Machine learning models for predicting steroid-resistant of nephrotic syndrome
BACKGROUND: In the absence of effective measures to predict steroid responsiveness, patients with nonhereditary steroid-resistant nephrotic syndrome (SRNS) have a significantly increased risk of progression to end-stage renal disease. In view of the poor outcomes of SRNS, it is urgent to identify th...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911108/ https://www.ncbi.nlm.nih.gov/pubmed/36776850 http://dx.doi.org/10.3389/fimmu.2023.1090241 |