Anomaly and Signature Filtering Improve Classifier Performance For Detection Of Suspicious Access To EHRs. AMIA Annu Symp Proc. 2011 ;2011:723-31..
Using statistical and machine learning to help institutions detect suspicious access to electronic health records. J Am Med Inform Assoc. 2011 ;18(4):498-505..