Fig. 10From: A comprehensive tool for creating and evaluating privacy-preserving biomedical prediction modelsImpact of data anonymization on re-identification risk profiles for the breast cancer dataset. As can be seen, the differential privacy model with ε=1 resulted in the strongest reductions to re-identification risks of all models used in the case studiesBack to article page