"The XGBoost model demonstrated exceptional performance, with test set accuracy of R² > 0.9 and RMSE < 0.06," said Yu Zhao, the first author of the study. "This confirms its capability to assess ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...