Table 1 Comparisons of the prediction performance in concordance index between using clinical only and clinical plus imaging data, obtained by five machine learning algorithms.

From: Use of machine learning to assess the prognostic utility of radiomic features for in-hospital COVID-19 mortality

Method

Clinical features only

Clinical and imaging feature

Cox proportional hazards model

78.3 (77.9, 78.7)

79.1 (78.8, 79.5)

Survival support vector machines

78.1 (77.7, 78.4)

79.6 (79.2, 79.9)

Random survival forests

79.5 (79.1, 79.9)

80.0 (79.7, 80.4)

Survival gradient boosting

78.4 (78.0, 78.8)

80.4 (80.0, 80.7)

Ensemble averaging

80.3 (79.9, 80.6)

81.0 (80.7, 81.3)