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...

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Detalles Bibliográficos
Autores principales: Lazebnik, Teddy, Bahouth, Zaher, Bunimovich-Mendrazitsky, Svetlana, Halachmi, Sarel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research Article
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

Internet

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

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