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Paper Details

Anomaly and signature filtering improve classifier performance for detection of suspicious access to EHRs.
AMIA Annu Symp Proc
7
2011
EHRs
Artificial Intelligence, Computer Security, Electronic Health Records, Humans, Logistic Models, Privacy, Sensitivity and Specificity
Author NameAffiliation
Jihoon KimUniversity of California San Diego
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Datasets

Release 1.2