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 ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...