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. 2025 Apr 28;12:1570860. doi: 10.3389/fmolb.2025.1570860

TABLE 3.

Diagnostic performance of the multimodality fusion model.

Model Dataset AUC (95% CI) ACC SEN SPE NPV PPV
Multimodality fusion model Training set 0.987 (0.975–1.000) 0.932 0.910 0.974 0.844 0.986
Test set 0.889 (0.798–0.980) 0.848 0.750 1.000 0.720 1.000

ACC, accuracy; AUC, area under the curve; CI, confidence interval; NPV, negative predictive value; PPV, positive predictive value; SEN, sensitivity; SPE, specificity.