A GDPR-oriented anonymisation pipeline combines re-identification risk classification with k-anonymity, l-diversity, t-closeness and non-uniform entropy, demonstrated on two mock healthcare datasets.
Observational health research in Europe: understanding the General Data Protection Regulation and underlying debate
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An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation
A GDPR-oriented anonymisation pipeline combines re-identification risk classification with k-anonymity, l-diversity, t-closeness and non-uniform entropy, demonstrated on two mock healthcare datasets.