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Fig. 2 | BMC Medical Informatics and Decision Making

Fig. 2

From: Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT

Fig. 2

Receiver operating characteristic (ROC) plots with their area under the curve (AUC) on the holdout set. Each model includes different features on top of patient age and sex. Lesion types include ground glass opacity (GGO) and consolidation. Tissue types refer to GGO, consolidation and healthy lung parenchyma. Model 1: volume fractions per lesion type, Model 2: volume fractions per lesion type, mean intensity, kurtosis and skewness per tissue type, Model 3: best 3 radiomic features from univariate feature selection, Model 4: volume fractions per lesion type, best 3 radiomic features from univariate feature selection, Model 5: volume fractions per lesion type, best 3 radiomic features from multivariate feature selection

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