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Fig. 2 | BMC Medical Informatics and Decision Making

Fig. 2

From: 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

Fig. 2

a Hepatitis B virus (HBV) and b Hepatitis C virus (HCV) SVM plots post SMOTE to overcome HBV/HCV immunoassay class imbalance, and random forest to identify the top three predictors of HBV or HCV positive/negative immunoassay class. For HBV and HCV SVM visualisation, the SVM was sliced at ALT equal to 35 IU/L

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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