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 analytics is the art and science of proposed predictive systems and models. With tuning over time, these models can predict an outcome with a far higher statistical probability than mere ...

Aim: Our aim was to develop predictive statistical models for mapping the abundance of 18 waterfowl species at a pan-Canadian level. We refined the previous generation of national waterfowl models by ...

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 ...

Suvra Pal, an associate professor of statistics in The University of Texas at Arlington's Department of Mathematics, has been awarded a $1.8 million grant from the National Institutes of Health to ...

This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community. Predictive analytics is a method of data analysis used within ...