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Predicting acute kidney injury following open partial nephrectomy treatment using SAT-pruned explainable machine learning model
BACKGROUND: One of the most prevalent complications of Partial Nephrectomy (PN) is Acute Kidney Injury (AKI), which could have a negative impact on subsequent renal function and occurs in up to 24.3% of patients undergoing PN. The aim of this study was to predict the occurrence of AKI following PN u...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9112450/ https://www.ncbi.nlm.nih.gov/pubmed/35578278 http://dx.doi.org/10.1186/s12911-022-01877-8 |