This study aimed to develop a novel prediction model for recurrence and survival in patients with localized renal cell carcinoma (RCC) after surgery. A large Asian nationwide dataset was used and a novel statistical method of machine learning (ML) was employed to improve accuracy in predicting outcomes. All study procedures were conducted according to the transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD) recommendations. The Institutional Review Board (IRB) of Seoul National University Bundang Hospital approved the study and all institutions obtained IRB approvals before inputting data into the database.
