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

Citation

Richardson, A.M. & Lidbury, B.A. 2013, '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', BMC Bioinformatics, vol. 14, no. 1, pp. -.

Year

2013

ANU Authors

Fields of Research

  • Biostatistics
  • Infectious Diseases

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