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 ...
Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements under various conditions. Published in Smart ...
A novel multi-task Extreme Gradient Boosting (XGBoost) model using electronic health record (EHR) data showed good-to-excellent accuracy in predicting antimicrobial resistance profiles of Escherichia ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results