Many U.S. hospitals using predictive models are not evaluating their tools internally for accuracy, and fewer still are evaluating them for potential biases, according to a study published in the most ...

As predictive models proliferate, providers and decision makers require accessible information to guide their use. Preventing and combating bias must also be priorities in model development and in ...

A study evaluating independent risk factors for invasive pulmonary aspergillosis (IPA) in hospitalized patients with acute exacerbations of chronic obstructive pulmonary disease (AECOPD) validated a ...

What are the different types of predictive modeling? Your email has been sent Predictive modeling is a type of data mining that is used in a variety of situations and industries. This process involves ...