AI with location data may fine-tune flu forecasting – AI in Healthcare

Last Updated on November 3, 2020 by

Computer scientists have used a graph neural network to recognize flu cases as regionally interconnected clusters. This twist on flu forecasting lets the team’s algorithm spot infection patterns within and between regions, aiding decision-making by health officials.

Yue Ning, PhD, and colleagues at Stevens Institute of Technology in New Jersey say their AI technique produces an 11% boost in accuracy over that supplied by other contemporary systems.

On this strength, they claim, the method—which involves “capturing the interplay of space and time”—can predict flu outbreaks up to 15 weeks ahead of their arrival.

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