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Machine learning enables physical activity data to be re-identified

By leveraging machine learning algorithms, it is possible to re-identify physical activity data collected from wearable devices from which protected health information has been removed.

That’s the contention of Anil Aswani, assistant professor in industrial engineering and operations research at the University of California at Berkeley.

“This type of data that’s collected by activity trackers is very useful for improving treatments and wellness programs but there’s also hidden privacy risks,” says Aswani.

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