Table 2.
Summary of prediction accuracies of the test data set with different predictive methods trained on the training set
| Clinical chemistry | Hematology | Histopathology |
Microarray bioinformatics analysis |
||||||
|---|---|---|---|---|---|---|---|---|---|
| Pathologist 1 | Pathologist 2 | Pathologist 3 | EPIG | k-NN | DME ANOVA | DCE ANOVA | |||
| Accuracy of prediction, % | 62.5 | 77.8 | 75 | 66.7 | 70.8 | 91.6 | 95.8 | 95.8 | 88.9 |
| (75) | (71) | (86) | (82) | (86) | (79.2) | (91.2) | (95.8) | (91.2) | |
| [97.2] | [54.2] | [58.3] | [56.9] | ||||||
In parentheses are displayed the prediction accuracies for the 24 h time point only of the test data set; in brackets are displayed the prediction accuracies for the liver gene expression data of the test set based on blood classifiers.