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Predicting older‐donor kidneys' post‐transplant renal function using pre‐transplant data
This paper provides a methodology for predicting post‐transplant kidney function, that is, the 1‐year post‐transplant estimated Glomerular Filtration Rate (eGFR‐1) for each donor‐candidate pair. We apply customized machine‐learning algorithms to pre‐transplant donor and recipient data to determine t...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley & Sons, Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108525/ https://www.ncbi.nlm.nih.gov/pubmed/37082424 http://dx.doi.org/10.1002/nav.22083 |