Application of multimodal fusion technology in early recurrence prediction and pathological analysis of hepatocellular carcinoma

Table 4 Predictive indicators for different models

Dataset	Model	Accuracy	AUC	95%CI	Sensitivity	Specificity
Training	Clinical	0.677	0.766	0.6884-0.8443	0.893	0.519
Test	Clinical	0.517	0.650	0.5106-0.7900	0.870	0.286
Training	Radiomics	0.729	0.785	0.7083-0.8608	0.625	0.805
Test	Radiomics	0.759	0.743	0.6018-0.8840	0.652	0.829
Training	Habitat	0.774	0.887	0.8328-0.9413	0.732	0.805
Test	Habitat	0.741	0.830	0.7239-0.9357	0.87	0.657
Training	Combined	0.857	0.941	0.9058-0.9764	0.946	0.792
Test	Combined	0.845	0.933	0.8735-0.9923	0.826	0.857

AUC: Area under the curve.