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 ...
A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback