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 ...
Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...
Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...
University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...
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