Developed by researchers at Johns Hopkins Bloomberg School of Public Health, the model could change how doctors worldwide assess patients' chances for heart attacks, strokes, and other cardiac events ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
NEW ORLEANS, LA—A risk model based on data from the Society of Thoracic Surgeons (STS) Adult Cardiac Surgery Database (ACSD) can accurately predict an individual’s need for surgical explant following ...
Powered by advanced factor research and daily refreshed data, Bloomberg’s MAC3 Risk Model transforms how investors see and manage risk in a multi-asset world. Bloomberg MAC3 gives investors a unified ...
Last year, I faced a harrowing experience that would change my perspective on healthcare forever. What began as an emergency surgery to combat a flesh-eating bacteria quickly turned into a nightmare.
Implementing Cancer Registry Data With the PCORnet Common Data Model: The Greater Plains Collaborative Experience Current image-based long-term risk prediction models do not fully use previous ...
Regulators around the world differ in their approach to model risk management (MRM) regulation – including their definitions of what a model is. While some are more prescriptive, others such as the UK ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results