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 ...

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...

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

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

Modern credit risk management now leans significantly on predictive modelling, moving far beyond traditional approaches. As lending practices grow increasingly intricate, companies that adopt advanced ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...