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. 2022 Apr 21;4(6):e415–e425. doi: 10.1016/S2589-7500(22)00049-8

Table 2.

Model performance on different CRWD test sets

n In-hospital mortality
Mechanical ventilation
Prolonged hospital stay (> 7 days)
Logistic regression Light gradient boost machine CovRNN binary prediction CovRNN survival prediction* Logistic regression Light gradient boost machine CovRNN binary prediction CovRNN survival prediction* Logistic regression Light gradient boost machine CovRNN binary prediction
Multi-hospital test set 48 781 90·3% (89·8–90·8) 91·5% (91·1–92·0) 93·0% (92·6–93·4) 86·0% (85·1–86·9) 89·5% (89·1–89·9) 91·2% (90·8–91·5) 92·9% (92·6–93·2) 92·6% (92·2–93·0) 80·0% (79·5–80·4) 81·7% (81·3–82·2) 86·5% (86·2–86·9)
Hospital 1 3469 88·8% (86·9–90·5) 91·0% (89·5–92·4) 91·8% (90·3–93·2) 86·0% (83·2–88·5) 86·7% (85·1–88·4) 88·4% (87·0–89·9) 91·5% (90·2–92·8) 90·8% (89·4–92·2) 77·3% (75·5– 79·1) 78·5% (76·7–80·2) 87·2% (85·8–88·4)
Hospital 2 706 94·6% (91·9–96·9) 95·1% (92·7–97·2) 97·0% (95·2–98·6) 91·6% (87·5–94·8) 93·5% (90·7–95·8) 95·6% (93·8–97·1) 96·0% (94·2–97·7) 93·8% (91·4–96·0) 80·9% (76·9– 84·7) 84·3% (80·5–87·7) 88·3% (85·6–90·9)

Data are area under the receiver operating characteristic curve (95% CI), unless otherwise indicated.

*

Unlike the binary outcomes used in the other models, CovRNN survival prediction uses time-to-event outcomes and the concordance index (95% CI) is shown. CRWD=Cerner Real-World COVID-19 Q3 Dataset.