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

University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...

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 ...

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

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

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: ...

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...