TABLE 1.
Comparison of HepatoPredict Predictive Power With Other Models
| Precision (PPV) (%) | Recall (%) | Accuracy (%) | FPR (%) | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Criteria | HP | Criteria | HP | Criteria | HP | Criteria | HP | n | |
| Milan | 88.1 | 88.5 | 75.2 | 99.1 | 72.5 | 89.1 | 37.9 | 48.3 | 138 |
| UCSF | 86.5 | 88.5 | 82.6 | 99.1 | 76.1 | 89.1 | 37.9 | 48.3 | 138 |
| Up to 7 | 80.3 | 88.5 | 93.6 | 99.1 | 76.8 | 89.1 | 86.2 | 48.3 | 138 |
| AFP criteria | 90.0 | 92.3 | 90.0 | 100 | 82.0 | 92.5 | 85.7 | 71.4 | 67 |
| Metroticket 2.0 | 90.1 | 92.3 | 91.7 | 100 | 83.5 | 92.5 | 85.7 | 71.4 | 67 |
| TTV | 82.9 | 88.7 | 95.1 | 100 | 80.0 | 89.6 | 87.0 | 56.5 | 125 |
| TTV AFP | 91.7 | 92.2 | 93.2 | 100 | 86.4 | 92.4 | 71.4 | 71.4 | 66 |
Criteria represents the criteria under comparison, and HP stands for HepatoPredict. Computations are made over the sample size for which all data were available for the calculation (column n). Precision is the same as positive predictive value [TP/(TP+FP), recall is calculated as TP/(TP+FN), accuracy as (TP+TN)/(P+N), and FPR is the false positive rate, calculated as FP/N, where T/F stand for true/false and P/N stand for positive/negative].