Boxwala, Aziz A <br/><br/>
Using statistical and machine learning to help institutions detect suspicious access to electronic health records.  [electronic resource] 

 -  Journal of the American Medical Informatics Association : JAMIA   
 - 498-505 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>1527-974X 
<br/><br/><label>Standard No.: </label>10.1136/amiajnl-2011-000217  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial Intelligence<br/>Computer Security<br/>Electronic Health Records<br/>Humans<br/>Logistic Models<br/>Management Audit--methods<br/>Pilot Projects<br/>Sensitivity and Specificity<br/>Software Validation<br/>United States