Constructing a machine learning model for systemic infection after kidney stone surgery based on CT values

Constructing a machine learning model for systemic infection after kidney stone surgery based on CT values

Abstract This study aims to develop a machine learning model utilizing Computed Tomography (CT) values to predict systemic inflammatory response syndrome (SIRS) after endoscopic surgery for kidney stones. The goal is to identify high-risk patients early and provide valuable guidance for urologists i...

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Bibliographic Details
Main Authors: Jiaxin Li, Yao Du, Gaoming Huang, Yawei Huang, Xiaoqing Xi, Zhenfeng Ye
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Machine learning
Renal endoscopic lithotripsy
Urosepsis
CT values
Shapley Additive exPlanations (SHAP)
Online Access:https://doi.org/10.1038/s41598-025-88704-y
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https://doi.org/10.1038/s41598-025-88704-y

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