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

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

Abstract 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 postoperat...

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Main Authors: Yeonhee Lee, Jiwon Ryu, Min Woo Kang, Kyung Ha Seo, Jayoun Kim, Jungyo Suh, Yong Chul Kim, Dong Ki Kim, Kook-Hwan Oh, Kwon Wook Joo, Yon Su Kim, Chang Wook Jeong, Sang Chul Lee, Cheol Kwak, Sejoong Kim, Seung Seok Han
Format: article
Language:EN
Published: Nature Portfolio 2021
Subjects:
Medicine
R
Science
Q
Online Access:https://doaj.org/article/453c98a5ce9c472bbe11c7f343605b8a
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https://doaj.org/article/453c98a5ce9c472bbe11c7f343605b8a

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