To develop a simple risk model, patient demographics and clinical characteristics were recoded into categorical variables on the basis of the literature. Age was categorized at 65 years, race as Black ...

In the dynamic and continuously advancing landscape of insurance and risk assessment, artificial intelligence (AI) is playing ...

In-hospital mortality in patients with AMI can be predicted with a risk-standardized model that includes patient factors, such as age and cardiogenic shock.

Already on Thursday, stocks were giving back a chunk of Wednesday's historic gain. Goldman Sachs says the tariff pause likely ...

Coronary artery disease (CAD) is the leading cause of death in the United States. Although effective preventive treatments ...

with the Morningstar Risk Model spotlighting returns as a crucial metric for assessing factor performance. In the evolving market landscape, the recent decline in the volatility factor signals a ...

The growing morbidity, mortality, and health care costs related to heart failure (HF) underscore the urgent need to prioritize its primary prevention. Whereas a risk-based approach for HF prevention ...

The following is a summary of “Development and validation of prediction algorithm to identify tuberculosis in two large ...