Machine learning models for predicting the onset of chronic kidney disease after surgery in patients with renal cell carcinoma

Machine learning models for predicting the onset of chronic kidney disease after surgery in patients with renal cell carcinoma

Abstract Background Patients with renal cell carcinoma (RCC) have an elevated risk of chronic kidney disease (CKD) following nephrectomy. Therefore, continuous monitoring and subsequent interventions are necessary. It is recommended to evaluate renal function postoperatively. Therefore, a tool to pr...

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Bibliographic Details
Main Authors: Seol Whan Oh, Seok-Soo Byun, Jung Kwon Kim, Chang Wook Jeong, Cheol Kwak, Eu Chang Hwang, Seok Ho Kang, Jinsoo Chung, Yong-June Kim, Yun-Sok Ha, Sung-Hoo Hong
Format: Article
Language:English
Published: BMC 2024-03-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Renal cell carcinoma
Machine learning
Chronic kidney disease
KOrean Renal Cell Carcinoma
Gradient boost
Online Access:https://doi.org/10.1186/s12911-024-02473-8

Internet

https://doi.org/10.1186/s12911-024-02473-8

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