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	1.	Using statistical and machine learning to help institutions detect suspicious access to electronic health records. [electronic resource] by Boxwala, Aziz A Kim, Jihoon Grillo, Janice M Ohno-Machado, Lucila Producer: 20111102 In: Journal of the American Medical Informatics Association : JAMIA vol. 18 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	2.	Anomaly and signature filtering improve classifier performance for detection of suspicious access to EHRs. [electronic resource] by Kim, Jihoon Grillo, Janice M Boxwala, Aziz A Jiang, Xiaoqian Mandelbaum, Rose B Patel, Bhakti A Mikels, Debra Vinterbo, Staal A Ohno-Machado, Lucila Producer: 20130225 In: AMIA ... Annual Symposium proceedings. AMIA Symposium vol. 2011 Availability: No items available. Save to lists Add to cart (remove)

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