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 ...
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 ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results