Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
IEEE Spectrum on MSN
Machine learning system monitors patient pain during surgery
To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...
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 ...
A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...
A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than relying on a single vegetation index, enables more accurate disease assessment.
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