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 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 ...

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

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

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

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...