<unk>  is an<unk>  for providing anonymity in medical data. The<unk>  was developed by Latanya Arvette Sweeney in 1997−98. Anonymization is achieved by automatically generalizing, substituting, inserting, and removing information as appropriate without losing many of the details found within the data. The method can be used on-the-fly in role-based security within an institution, and in batch mode for exporting data from an institution. Organizations release and receive medical data with all explicit identifiers -- such as name -- removed, in the erroneous belief that patient confidentiality is maintained because the resulting data look anonymous. However the remaining data can be used to re-identify individuals by linking or matching the data to other databases or by looking at unique characteristics found in the fields and records of the database itself. The<unk>  has been criticized for trying to achieve anonymization by over-generalization. The<unk>  selects the attribute with the greatest number of distinct values as the one to generalize first.
Datafly algorithm
Kick chart
QTY Code
Next-generation matrix
Rape statistics
NDR Method
EFAR System Model
Mole map 