He studies how changing the way we measure prediction accuracy can ultimately influence the decisions made by humans and machines alike. Frongillo’s research lies between theoretical machine learning ...

As the use of machine learning algorithms in ... of hospitalization prediction tasks. Predictive models often help health insurers’ pharmacy departments design member outreach strategies to ...

Researchers in Denmark say they have used powerful machine-learning ... The algorithm then learned from that data, Lehmann says, and was able to make predictions about certain aspects of people ...

Researchers at Penn State are using machine learning and existing electrocardiogram (ECG) data to help doctors make more accurate predictions ... to develop novel algorithms for point-of-care ...