Calculate equivalence class sizes, suppression rate, and information loss for a k-anonymized dataset given quasi-identifier combinations.
Enter the values for the patient or scenario you are assessing. Calculate equivalence class sizes, suppression rate, and information loss for a k-anonymized dataset given quasi-identifier combinations. Use the k-anonymity result to inform your clinical assessment.