Re-identification risk prediction
AssigneePrivacy Analytics Inc.
InventorsMartin Scaiano, Andrew Baker, Stephen Korte
Life of this patent
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Abstract
System and method to predict risk of re-identification of a cohort if the cohort is anonymized using a de-identification strategy. An input anonymity histogram and de-identification strategy is used to predict the anonymity histogram that would result from applying the de-identification strategy to the dataset. System embodiments compute a risk of re-identification from the predicted anonymity histogram.
Claims17
A method to predict a risk of re-identification of a de-identified dataset having a plurality of records comprising respective patient information, the method comprising steps of:
- generating an anonymity histogram of the dataset;
- providing one of a plurality of de-identification strategies that express mitigation techniques of the risk of re-identification to be applied to the dataset;
- transforming the anonymity histogram into a predicted histogram under an assumption that the de-identification strategy is applied to the plurality of records of the dataset;
- computing a predicted risk of re-identification based on the predicted histogram;
- and
- when the risk of re-identification is higher than a predetermined risk of re-identification:
- providing a different one of the plurality of de-identification strategies, and
- repeating the steps of transforming and computing until the risk of re-identification is lower than the predetermined risk of re-identification.
A system to predict a risk of re-identification of a de-identified dataset having a plurality of records comprising respective patient information, the method comprising:
- a processor configured to:
- generate an anonymity histogram of the dataset;
- provide one of a plurality of de-identification strategies that express mitigation techniques of the risk of re-identification to be applied to the dataset;
- transform the anonymity histogram into a predicted histogram under an assumption that the de-identification strategy is applied to the plurality of records of the dataset;
- compute a predicted risk of re-identification based on the predicted histogram;
- and
- when the risk of re-identification is higher than a predetermined risk of re-identification:
- provide a different one of the plurality of de-identification strategies, and
- repeat the transform and compute acts until the risk of re-identification is lower than the predetermined risk of re-identification.
Dependencies are inferred from the claim text.