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. 2020 Nov 19;20:299. doi: 10.1186/s12911-020-01316-6

Table 3.

Performance of the Cox regression model and an ANN on 398 patients with SARS-CoV-2 in a West London hospital, during March 1–April 24, 2020

Cox regression model (95% CI) ANN model (95% CI) Cox regression vs ANN model
Sensitivity 50.0% (28.2–71.8) 64.7% (38.3–85.8)
Specificity 96.6% (88.1–99.6) 96.8% (89–99.6)
Positive predictive value 84.6% (57.0–95.8) 84.6% (57.4–95.7)
Negative predictive value 83.6% (77.0–88.6) 91.4% (84.2–95.1)
Accuracy 83.75% (73.8–91.1) 90.0% (81.2–95.6)
AUROC 86.9% (85.7–88.2) 92.6% (91.1–94.1) Z = 12.021, p < 0.001

ANN artificial neural network, AUROC area under the receiver operating characteristic curve