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 ...

You can’t pick up a computer industry publication these days without seeing headlines about how “big data” is changing the corporate climate across a broad array of industries. But is big data and ...

Boris Kontsevoi is a technology executive, President and CEO of Intetics Inc., a global software engineering and data processing company. In an era where the unexpected is becoming the norm, the ...

Gienna Shaw is an independent journalist with more than 25 years of experience as a writer and editor. She specializes in business, technology and healthcare. As the federal government makes headway ...

In predictive modeling, future events are predicted based on statistical analysis. Read this guide to understand how predictive modeling works and how it can benefit your business. Image: ...

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

The primary objective of predictive analytics is to predict future events or outcomes from their baseline characteristics using appropriate models. For instance, predicting high-risk and low-risk ...

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, ...

From Reaction to Anticipation: Predictive analytics empower security teams to transition from reactive responses to proactive strategies by leveraging data to anticipate risks before they escalate.