Tag: risk prediction

Researchers developed and validated a nomogram using routine clinical markers to predict metabolic-associated fatty liver disease risk in non-obese individuals ...

A prospective study of 7,218 participants in eastern China found that insulin resistance and depressive symptoms are independently and jointly ...

A support vector machine accurately predicted postoperative deep vein thrombosis in lower leg fracture patients but showed no statistically significant ...

A comparative analysis of electronic health record data shows that ignoring competing hospital events undermines standard Cox models, whereas logistic ...

A bibliometric analysis of 840 studies reveals sustained growth and a post-2020 surge in artificial intelligence research for emergency management ...

A retrospective study of 986 critically ill patients developed an internally validated nomogram incorporating age, glucose, lactate-to-albumin ratio, and D-dimer-to-fibrinogen ...

Researchers developed and internally validated an interpretable machine learning model predicting incident cardiovascular disease among adult cancer survivors following systemic ...

Researchers have developed MANTIS, an artificial intelligence model that uses routine DNA methylation profiling to predict individualized survival outcomes and ...

Integrating non-traditional lipid indices with frailty measures improved cardiovascular disease risk prediction among individuals with cardiovascular-kidney-metabolic syndrome stages 0 to ...

A new explainable multimodal AI model integrates post-ESD images and clinical features to predict delayed bleeding after colorectal endoscopic submucosal ...