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The Australian National University

Enhancement of hepatitis virus immunoassay outcome predictions in imbalanced routine pathology data by data balancing and feature selection before the application of support vector machines

Citation

Richardson, A & Lidbury, B.A. 2017, 'Enhancement of hepatitis virus immunoassay outcome predictions in imbalanced routine pathology data by data balancing and feature selection before the application of support vector machines', BMC Medical Informatics and Decision Making, vol. 17, p. 121.

Year

2017

Field of Research

  • Epidemiology

Updated:  18 October 2017 / Responsible Officer:  Director (Research Services Division) / Page Contact:  Researchers