Disambiguation Data: Extracting Information from Anonymized Sources

AUTOR(ES)

Dreiseitl, Stephan

FONTE

American Medical Informatics Association

RESUMO

Privacy protection is an important consideration when releasing medical databases to the research community. We show that while recent advances in anonymization algorithms provide increased levels of protection, it is still possible to calculate approximations to the original data set. In some cases, one can even uniquely reconstruct entries in a table before anonymization.

Documentos Relacionados

• Capturing and using clinical outcome data: implications for information systems design.
• Current practices in spatial analysis of cancer data: data characteristics and data sources for geographic studies of cancer
• Collecting and harvesting biological data: the GPCRDB and NucleaRDB information systems
• Molecular linguistics: Extracting information from gene and protein sequences
• Extracting functional information from microarrays: A challenge for functional genomics