Machine learning models for predicting renal injury in patients with gout

This research successfully developed machine learning (ML) models to predict renal impairment in gout patients, with the XGBoost model demonstrating superior performance among the three models tested. And we constructed a Web-based tool for calculating the probability of kidney injury in gout patients based on the model XGBoost. We developed a web-based tool that leverages the XGBoost model to estimate the likelihood of renal injury in patients with gout.