Machine learning re-identifies private health data of children, adults

03 Jan 2019 11:45 AM | Denny Brennan (Administrator)

AI in Healthcare | January 02, 2019 | Danielle Brown | Research

The protected health information of deidentified individuals may not be private after researchers used machine-learning techniques to reidentify the health data of some children and adults. The findings could signal a need for legislation that protects and ensures the privacy of people’s health data.

“The findings of this study suggests that current practices for deidentifying physical activity data are insufficient for privacy and that deidentification should aggregate the physical activity data of many people to ensure individuals’ privacy,” a study published in JAMA said. The study was authored by Liangyuan Na, a graduate student researcher for the Operations Research Center at the Massachusetts Institute of Technology, et al. 

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