Evaluating privacy of individuals in medical data

Although data protection is compulsory when personal shared, there no systematic method available to evaluate what extent each individual at risk of a privacy breach. We use collection measures that quantify how much information needed uncover sensitive information. Combined with visualization techniques, our approach can be used perform detailed analysis medical data. Because evaluated per variable, these adjustments made while incorporating likely it variables will exploited in practice, as mandatory the European Union. Additionally, knowledge on specific contribute breaches, which subsequently guide anonymization such generalization.