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Titel:

An Open Source Tool for Game Theoretic Health Data De-Identification.

Dokumenttyp:
Journal Article; Research Support, N.I.H., Extramural
Autor(en):
Prasser, Fabian; Gaupp, James; Wan, Zhiyu; Xia, Weiyi; Vorobeychik, Yevgeniy; Kantarcioglu, Murat; Kuhn, Klaus; Malin, Brad
Abstract:
Biomedical data continues to grow in quantity and quality, creating new opportunities for research and data-driven applications. To realize these activities at scale, data must be shared beyond its initial point of collection. To maintain privacy, healthcare organizations often de-identify data, but they assume worst-case adversaries, inducing high levels of data corruption. Recently, game theory has been proposed to account for the incentives of data publishers and recipients (who attempt to re...     »
Zeitschriftentitel:
AMIA Annu Symp Proc
Jahr:
2017
Band / Volume:
2017
Seitenangaben Beitrag:
1430-1439
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/29854212
Print-ISSN:
1559-4076
TUM Einrichtung:
Institut für Medizinische Statistik und Epidemiologie
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