Kim, Jihoon <br/><br/>
Anomaly and signature filtering improve classifier performance for detection of suspicious access to EHRs.  [electronic resource] 

 -  AMIA ... Annual Symposium proceedings. AMIA Symposium  2011 
 - 723-31 p.  digital 
<br/><br/> Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't 
<br/><br/><label>ISSN: </label>1942-597X 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial Intelligence<br/>Computer Security<br/>Electronic Health Records<br/>Humans<br/>Logistic Models<br/>Privacy<br/>Sensitivity and Specificity