A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

Discover a study validating the TRIUMPH machine learning model, which improves prediction of post-transplant recurrence in ...

A global study shows machine learning improves survival predictions for hospitalised cirrhosis patients, outperforming ...

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 ...

Machine learning models showed strong predictive performance for 5-year survival in stage III colorectal cancer patients, with AUC values between 0.766 and 0.791. Key prognostic factors identified ...

Alternative lending is a vital source of credit for consumers underserved by traditional banks. This study examines how integrating additional data and advanced machine learning enhances default ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Open in Viewer Fig 2. Receiver operating characteristic curve of the machine learning CLL/MBL risk classifier model showing prediction performance for ALC ≥5.0 × 10 9 /L and ≥40% lymphocytes. The ...