There are a few different types of predictive modeling. Find out what makes each unique and how you can use them in your data projects.

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.

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, ...

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 ...

Predictive modeling is now viewed as a foundational tool in this modernization era, combining historical data with real-time signals from across the dealer ecosystem.

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.

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 ...

Predictive analysis models commonly used in higher education may have a bias against learners from some racial and ethnic minorities based on limited data sets and other systemic inequities.