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Titel:

A Scalable and Pragmatic Method for the Safe Sharing of High-Quality Health Data.

Dokumenttyp:
Journal Article
Autor(en):
Prasser, Fabian; Kohlmayer, Florian; Spengler, Helmut; Kuhn, Klaus A
Abstract:
The sharing of sensitive personal health data is an important aspect of biomedical research. Methods of data de-identification are often used in this process to trade the granularity of data off against privacy risks. However, traditional approaches, such as HIPAA safe harbor or -anonymization, often fail to provide data with sufficient quality. Alternatively, data can be de-identified only to a degree which still allows us to use it as required, e.g., to carry out specific analyses. Controlled...     »
Zeitschriftentitel:
IEEE J Biomed Health Inform
Jahr:
2018
Band / Volume:
22
Heft / Issue:
2
Seitenangaben Beitrag:
611-622
Volltext / DOI:
doi:10.1109/JBHI.2017.2676880
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/28358693
Print-ISSN:
2168-2194
TUM Einrichtung:
Institut für Medizinische Statistik und Epidemiologie
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