Publications

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Filters: Author is Grillo, Janice M  [Clear All Filters]
2011
Kim J, Grillo JM, Boxwala AA, Jiang X, Mandelbaum RB, Patel BA, Mikels D, Vinterbo SA, Ohno-Machado L. Anomaly and Signature Filtering Improve Classifier Performance For Detection Of Suspicious Access To EHRs. AMIA Annu Symp Proc. 2011;2011:723-31.
Boxwala AA, Kim J, Grillo JM, Ohno-Machado L. 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.