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Fig. 5 | European Radiology Experimental

Fig. 5

From: Evaluation of novel coronavirus disease (COVID-19) using quantitative lung CT and clinical data: prediction of short-term outcome

Fig. 5

Shows receiver operating characteristic curve analysis of each model and the corresponding variable importance. AUC, Area under the curve; CIT, Conditional inference trees; CRP, C-reactive protein; GLM, Generalised linear model; Lymph %, Lymphocyte percentage; PBR, Penalised binomial regression; SVL, Support vector machine with linear kernel; VoD, Volume of disease

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