Machine learning-based prediction of acute kidney injury after nephrectomy in patients with renal cell carcinoma

The precise prediction of acute kidney injury (AKI) after nephrectomy for renal cell carcinoma (RCC) is an important issue because of its relationship with subsequent kidney dysfunction and high mortality. Herein we addressed whether machine learning (ML) algorithms could predict postoperative AKI r...

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Detalles Bibliográficos
Autores principales: Lee, Yeonhee, Ryu, Jiwon, Kang, Min Woo, Seo, Kyung Ha, Kim, Jayoun, Suh, Jungyo, Kim, Yong Chul, Kim, Dong Ki, Oh, Kook-Hwan, Joo, Kwon Wook, Kim, Yon Su, Jeong, Chang Wook, Lee, Sang Chul, Kwak, Cheol, Kim, Sejoong, Han, Seung Seok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8333365/
https://www.ncbi.nlm.nih.gov/pubmed/34344909
http://dx.doi.org/10.1038/s41598-021-95019-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8333365/
https://www.ncbi.nlm.nih.gov/pubmed/34344909
http://dx.doi.org/10.1038/s41598-021-95019-1

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