Crowdsourced health research is a growing field toward achieve personalized healthcare. Health research often confronts with the small N problem; difficulty for statistical inference due to small sample size. Crowd-sourced science leverages the power of the mass scale and provides benefits. However, privacy concerns often prevent data sharing. Privacy preservation data mining (PPDM) deals with protecting the privacy of individual data or sensitive knowledge without sacrificing the utility of the data. This talk gives overview of recent PPDM techniques. We also discuss how to utilize PPDM for health research.
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