Time series forecasting requires simplifying complex environments into quantifiable variables. These simplifications, while ...

As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a ...

Predictive analytics–driven disease management outperforms standard of care among patients with chronic heart failure. Objectives: To evaluate the effect of a predictive algorithm–driven disease ...

Durham, N.C.-Duke Health is creating the Algorithim-Based Clinical Decision Support Oversight Committee to provide guidance and overview of predictive artificial intelligence algorithms in healthcare, ...

Over the last few years, it’s become clear that using a patient’s race as a variable in some predictive models – like those involving kidney function – leads to poorer outcomes. Meanwhile, removing ...

The recently released Health Data, Technology, and Interoperability (HTI-1) Final Rule from the Office of the National Coordinator for Health IT (ONC) has introduced groundbreaking transparency ...

What if healthcare becomes not a universal right but a personal upgrade? Asks Paul Armstrong The healthcare industry is ...

As the Army prepares for large-scale combat operations (LSCO), the importance of effective logistics has never been greater. In contested environments, where supply chains are vulnerable to disruption ...

This post was paid for by an advertiser. The Herald-Dispatch newsroom was not involved in its creation. In today’s markets, reacting a few minutes late can mean losing major ground. As volatility ...

Algo developers often stress the importance of alpha predictors over short and long-term horizons. Good alpha predictors can help modulate trading plans and improve the timing of executions. However, ...