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 ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Discover how a new machine learning method can help scientists predict which MOF structures are good candidates for advanced ...
Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...
Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...
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