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.
Richardson, Alice M
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
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
1471-2105
10.1186/1471-2105-14-206 doi
Artificial Intelligence
Decision Support Techniques
Decision Trees
Hepacivirus--isolation & purification
Hepatitis B--diagnosis
Hepatitis B virus--isolation & purification
Hepatitis C--diagnosis
Humans
Immunoassay
Immunologic Tests
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
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
1471-2105
10.1186/1471-2105-14-206 doi
Artificial Intelligence
Decision Support Techniques
Decision Trees
Hepacivirus--isolation & purification
Hepatitis B--diagnosis
Hepatitis B virus--isolation & purification
Hepatitis C--diagnosis
Humans
Immunoassay
Immunologic Tests