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 rapid adoption of digital products and services has created vaster volumes of data than we’ve ever seen before. As a result, an increasing number of organizations are using big data analytics and ...

Consumer confidence in driving hydrogen-fueled vehicles could be improved by having station operators adopt a predictive model that helps them anticipate maintenance needs, according to researchers.

At the 2025 Inclusion Conference, Wang Xingxing, founder and CEO of Yushu Technology, conducted an in-depth discussion on the development of embodied intelligence. He particularly emphasized the ...

The AI models, paired with standardized care pathways, can be transformative in addressing readmissions and other high-impact ...

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 new model using genomic and pathological data improves prognostic accuracy for advanced NSCLC, aiding personalized treatment plans. Traditional indicators like tumor mutational burden and PD-L1 ...

SUSSEX, Wis.--(BUSINESS WIRE)--Quad/Graphics, Inc. (NYSE: QUAD), a global marketing experience company, has developed a specialized attitudinal model that helps health insurers drive deeper ...

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 ...