Table 2 Results of Deep Learning Survival Cox analyses on the three independent external validation cohorts.

From: Early triage of critically ill COVID-19 patients using deep learning

Cohort

Wuhan

Hubei

Guangdong

Ex3

All cases

Ex3

All cases

Ex3

All cases

No. of patients (critically)

801 (84)

940 (94)

305 (8)

380 (9)

73 (3)

73 (3)

AUC (95% CI)

0.893 (0.867–0.919)

0.881 (0.854–0.905)

0.888 (0.732–0.984)

0.819 (0.632–0.978)

0.967 (0.905–1.000)

0.967 (0.905–1.000)

C-index (95% CI)

0.890 (0.865–0.915)

0.878 (0.852–0.903)

0.852 (0.672–0.973)

0.769 (0.556–0.966)

0.967 (0.906–1.000)

0.967 (0.906–1.000)

HR&MR recall (95% CI)

1.000 (1.000–1.000)

1.000 (1.000–1.000)

0.875 (0.625–1.000)

0.778 (0.500–1.000)

1.000 (1.000–1.000)

1.000 (1.000–1.000)

HR recall (95% CI)

0.833 (0.768–0.900)

0.809 (0.736–0.878)

0.500 (0.167–0.800)

0.444 (0.167–0.750)

0.667 (0.000–1.000)

0.667 (0.000–1.000)

  1. Ex3 excludes data that were missing three or more values, HR high risk, MR medium risk. Guangdong cohort had no missing values.