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

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

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 ...

A novel gene risk score, informed by machine learning, predicted weight-loss outcomes after Roux-en-Y gastric bypass (RYGB) surgery, a new analysis showed. The findings suggested that the MyPhenome ...