Table 3.
Concordance index (C-index) and area under receiver operating characteristic curve (AUROC) for the hybridized ML model and reference models, confidence interval inside paranthesis
Hybridized ML model | Expert-based model | Calcium score-based model | ||||
---|---|---|---|---|---|---|
Training | Testing | Training | Testing | Training | Testing | |
C-index | .85 (.75–.95) | .81 (.67–.95) | .72 (.61–.84) | .71 (.55–.87) | .65 (.54–.77) | .64 (.49–.79) |
AUROC | .89 (.81–.97) | .76 (.63–.93) | .76 (.66–.86) | .67 (.50–.84) | .68 (.59–.78) | .64 (.49–.79) |