Cargando…
Identification of AKI signatures and classification patterns in ccRCC based on machine learning
BACKGROUND: Acute kidney injury can be mitigated if detected early. There are limited biomarkers for predicting acute kidney injury (AKI). In this study, we used public databases with machine learning algorithms to identify novel biomarkers to predict AKI. In addition, the interaction between AKI an...
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10244623/ https://www.ncbi.nlm.nih.gov/pubmed/37293297 http://dx.doi.org/10.3389/fmed.2023.1195678 |