CHICAGO--(BUSINESS WIRE)--CommonSpirit Health, which has 137 hospitals and more than 1,000 care sites serving patients across 21 states, is using de-identified cell phone data, public health data, and ...

The semiconductor industry, as always, is at the forefront of transformational technological innovation, driving escalating complexity of manufacturing processes that extend time-to-market delivery, ...

Predictive analytics models can help you completely transform every aspect of digital marketing. Here's how to take advantage of it. Predictive analytics is the method of using historical and recent ...

Training algorithms on crime reports from victims rather than arrest data is said to make predictive tools less biased. It doesn’t look like it does. It’s no secret that predictive policing tools are ...

You have /5 articles left. Sign up for a free account or log in. Predictive models are used across the student life cycle in higher education, to gauge yield in ...

A study has developed a predictive tool to help older adults understand their likelihood of maintaining independence at home following cancer surgery. The STAYHOME model addresses a critical gap in ...

Researchers around the world share results from a novel model that can provide tailored predictions of how individual patients respond to different therapies. Multiple myeloma remains challenging to ...

BOSTON--(BUSINESS WIRE)--Teikametrics, the leading AI-powered Marketplace Optimization Platform with over $1B+ in annual ad sales optimized, is thrilled to introduce a new Predictive AI product, ...

A growing number of AI tools are being used to predict everything from sepsis to strokes, with the hope of accelerating the delivery of life-saving care. But over time, new research suggests, these ...

Poor data quality is enemy number one to the widespread, profitable use of machine learning. While the caustic observation, “garbage-in, garbage-out” has plagued analytics and decision-making for ...