Richardson, Alice M <br/><br/>
Infection status outcome, machine learning method and virus type interact to affect the optimised prediction of hepatitis virus immunoassay results from routine pathology laboratory assays in unbalanced data.  [electronic resource] 

 -  BMC bioinformatics  Jun 2013 
 - 206 p.  digital 
<br/><br/> Publication Type: Journal Article; Research Support, Non-U.S. Gov't 
<br/><br/><label>ISSN: </label>1471-2105 
<br/><br/><label>Standard No.: </label>10.1186/1471-2105-14-206  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial Intelligence<br/>Decision Support Techniques<br/>Decision Trees<br/>Hepacivirus--isolation & purification<br/>Hepatitis B--diagnosis<br/>Hepatitis B virus--isolation & purification<br/>Hepatitis C--diagnosis<br/>Humans<br/>Immunoassay<br/>Immunologic Tests