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 ...

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

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

Background: Multimorbidity, the co-occurrence of 2 or more chronic conditions, is important in patients with inflammatory bowel disease (IBD) given its association with complex care plans, poor health ...

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

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

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