Predictive analytics–driven disease management outperforms standard of care among patients with chronic heart failure. Objectives: To evaluate the effect of a predictive algorithm–driven disease ...

Key market opportunities include rising demand for adaptive investment strategies, increased use of predictive analytics in ...

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 ...

The concept of predictive analytics is not new. Predictive analytics has been around for well over a decade. Despite its age, it has mainly been the purview of large organizations for most of its ...

Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

HIMSS20: How predictive analytics models can help predict, reduce 30-day readmission rates If properly integrated into clinician workflows, predictive analytics can result in efficiencies and better ...

Inaccurate or overlooked alerts on manufacturing data can be reduced with proper data handling when developing and deploying predictive models. Data analytics, and specifically predictive analytics, ...

Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...

1. What is predictive analytics? Predictive analytics is a method of using data to make predictions about future events or behavior. It can be used in a number of different fields, including marketing ...