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 ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...

The study "Seasonal forecasting of European heat waves using a feature selection framework," published in Communications Earth & Environment, demonstrates how machine learning (ML) and artificial ...

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