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 ...

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

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

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

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

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...

Background and Goal: This study examined whether machine learning could predict the risk and contributing factors of no-shows and late cancellations in primary care practices. Study Approach: ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...