Evaluation of the Anonymity and Utility of De-Identified Clinical Data Based on Japanese Anonymization Criteria.
2017
: We analyze the deterioration of clinical data quality due to anonymization. The result shows that data quality remained high with micro-aggregation and also verify the availability of noise addition to prevent illegal re-identification by matching another personal data.
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