"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 importance of immune cell types in the XGBoost model. The influence of immune cell infiltration scores on SHAP values, with a color gradient representing low to high cell infiltration scores.

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

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 ...