As costs to treat serious conditions surge, employers must plan how to absorb budget-altering expenses ahead of time.

Learn about how predictive analytics works, the types, benefits, use cases, and top tools. Predictive analytics is a process that uses statistics and modeling techniques to make informed decisions and ...

Predictive analytics in financial forecasting analyzes past and present data to improve the accuracy of planning and budgeting. Historically, accountants have depended on manual spreadsheet analysis ...

Centrix and University of Sussex launch a data analytics partnership to reduce development risk, rework and delays in early-stage pharma programs. A collaboration between Centrix Pharma Solutions, a ...

Researchers from Sanford Burnham Prebys and the Chinese University of Hong Kong validated a predictive analytics approach to forecast whether type 2 diabetes patients will develop kidney disease, ...

Many enterprises have turned to predictive analytics in a bid to stay ahead of rapidly shifting consumer and market trends. However, a recent report from BCG highlights that a mere 5% of organizations ...

Patients are less comfortable with predictive models used for health care administration compared with those used in clinical practice, signaling misalignment between patient comfort, policy, and ...

The algorithms often used by colleges to predict students’ likelihood of graduating can produce less accurate results for Black and Hispanic students compared to their peers, a new study says.

VantageScore today released the results of its eighth annual Model Performance Assessment, reinforcing VantageScore 4.0's ...