Anonymously Analyzing Clinical Datasets

Nafees Qamar, Yilong Yang, Andras Nadas +2

This paper takes on the problem of automatically identifying clinically-relevant patterns in medical datasets without compromising patient privacy. To achieve this goal, we treat d…