Machine learning based prediction for oncologic outcomes of renal cell carcinoma after surgery using Korean Renal Cell Carcinoma (KORCC) database

Machine learning based prediction for oncologic outcomes of renal cell carcinoma after surgery using Korean Renal Cell Carcinoma (KORCC) database

Abstract We developed a novel prediction model for recurrence and survival in patients with localized renal cell carcinoma (RCC) after surgery and a novel statistical method of machine learning (ML) to improve accuracy in predicting outcomes using a large Asian nationwide dataset, updated KOrean Ren...

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Bibliographic Details
Main Authors: Jung Kwon Kim, Sangchul Lee, Sung Kyu Hong, Cheol Kwak, Chang Wook Jeong, Seok Ho Kang, Sung-Hoo Hong, Yong-June Kim, Jinsoo Chung, Eu Chang Hwang, Tae Gyun Kwon, Seok-Soo Byun, Yu Jin Jung, Junghyun Lim, Jiyeon Kim, Hyeju Oh
Format: Article
Language:English
Published: Nature Portfolio 2023-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-30826-2

Internet

https://doi.org/10.1038/s41598-023-30826-2

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