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 ...
Identifying optimal catalyst materials for specific reactions is crucial to advance energy storage technologies and sustainable chemical processes. To screen catalysts, scientists must understand ...
Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...
Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that the new tool makes the models more accurate at both the global and ...
A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...
A US-based data solutions provider has begun rolling out a unique artificial intelligence model built specifically for the insurance industry’s needs — a welcome solution for carriers struggling to ...
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