Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

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 ...

If insight arrives after the opportunity to act has passed, it is no longer predictive.The challenge is building systems that ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

AI is focusing on deeper insights for sustainable growth and long-term value, from predictive performance modeling to AI-driven attribution, CLV, and EVS. Success in PPC has historically been measured ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...