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An Open Source Tool for Game Theoretic Health Data De-Identification.
Prasser F, Gaupp J, Wan Z, Xia W, Vorobeychik Y, Kantarcioglu M, Kuhn K, Malin B. Prasser F, et al. AMIA Annu Symp Proc. 2018 Apr 16;2017:1430-1439. eCollection 2017. AMIA Annu Symp Proc. 2018. PMID: 29854212 Free PMC article.
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. ... …
To realize these activities at scale, data must be shared beyond its initial point of collection. To maintain privacy, healthcare org …
A comprehensive tool for creating and evaluating privacy-preserving biomedical prediction models.
Eicher J, Bild R, Spengler H, Kuhn KA, Prasser F. Eicher J, et al. BMC Med Inform Decis Mak. 2020 Feb 11;20(1):29. doi: 10.1186/s12911-020-1041-3. BMC Med Inform Decis Mak. 2020. PMID: 32046701 Free PMC article.
In this process, we also used a wide range of different privacy models (k-anonymity, differential privacy and a game-theoretic approach) as well as different data transformation techniques. ...Our implementation is available as open source softw …
In this process, we also used a wide range of different privacy models (k-anonymity, differential privacy and a game-theoretic
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