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. 2020 Oct 13;24(12):3539–3550. doi: 10.1109/JBHI.2020.3030853

TABLE II. Comparing our Model With Several Competitors on Patient-Level Diagnosis. ‘FPE,’ ‘FNE’ and ‘FDPE’ Denote the Metrics of False Positive Error, False Negative Error and False Disease Prediction Error, Respectively. The Numbers in Square Brackets Represent the 95% Confidence Interval. ‘Inline graphic’ Means the Inline graphic-Value Compared our Model With Other Competitors.

Metrics Healthy COVID-19 H1N1 CAP Overall
Sen. Spec. AUC Sen. Spec. AUC Sen. Spec. AUC Sen. Spec. AUC Acc. FPE FNE FDPE
COVNET 51.92 96.88 96.30 95.88 80.74 95.15 58.33 94.86 84.82 60.71 85.83 77.89 68.84 [63.70Inline graphic74.32] (Inline graphic) 48.08 3.13 18.97
Med3D-50 69.70 90.59 91.44 75.00 88.83 88.22 93.02 97.24 97.70 79.39 90.96 92.09 76.37 [71.57Inline graphic80.83] (Inline graphic) 30.30 9.41 10.45
Med3D-18 93.26 100 99.99 95.05 99.49 99.81 92.86 100 100 98.16 93.67 99.41 94.52 [91.78Inline graphic96.92] (Inline graphic) 6.74 0.00 4.62
DeCovNet 99.03 100 100 95.96 96.04 98.87 100 98.03 99.85 75.51 97.93 96.51 93.83 [91.10Inline graphic96.58] (Inline graphic) 0.96 0.00 8.91
Ours 97.17 95.86 98.88 98.99 97.49 99.93 100 99.61 100 81.19 100 97.71 95.21 [92.81Inline graphic97.26] 2.83 4.15 1.57