Association Patterns of Ontological Features Signify Electronic Health Records in Liver Cancer

Table 2

Performances of primary predictor model (PPM) and augmented predictor model (APM) in classifying NAD and HCC cases. HCC and NAD predictions are indicated by “+” and “−,” respectively.

Model	Classification rate		Overall accuracy (112 cases)
	NAD (53 cases)	HCC (59 cases)
PPM	98.1% (52 cases)	57.6% (34 cases)	76.8% (86 cases)
APM	92.5% (49 cases)	84.7% (50 cases)	88.4% (99 cases)
Contingency table
McNemar test