Predictive modeling uses known results to create, process, and validate a model that can be used to forecast future outcomes.

In today’s data-driven era, Urvang Kothari leads predictive engineering with AI-powered automation, real-time insights, and ...

Not enough hospitals are testing their predictive AI models for accuracy, bias, study finds By Dave Muoio Jan 17, 2025 8:30am Health Affairs Artificial Intelligence predictive modeling machine ...

Pecan’s new free trial opens the fast predictive modeling platform so all data analysts can use AI and SQL to solve business problems.

Predictive modeling is a common method of risk stratification, and although a number of predictive models have been developed for use in oncology care, they have rarely been tested alongside ...

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.

After a challenging 2020, health systems are looking to deploy strategies for recovery, especially to bolster financial health. One strategy health executives are considering is investing in ...