Table 3.

Selected features in C, R, and CR models

Model and individual features	Coefficients
R, n = 8 (41)*
Intercept	− 0.307
Total number of mixed GGO in peripheral area	0.359
Total number of consolidation	− 1.262
Total number of solid nodules with ground-glass opacities	0.452
Interlobular septal thickening	− 5.559
Crazy paving pattern	3.566
Tree-in-bud	− 2.548
Pleural thickening	3.265
Offending vessel augmentation in lesions	5.504
C, n = 7 (26)*
Intercept	29.273
Respiration	− 0.359
Heart rate	− 0.054
Temperature	− 0.289
White blood cell count	− 0.175
Cough	− 1.866
Fatigue	2.855
Lymphocyte count category	− 0.028
CR, n = 10 (67)*
Intercept	45.117
Total number of mixed GGO in peripheral area	0.108
Tree-in-bud	− 1.853
Offending vessel augmentation in lesions	6.000
Respiration	− 0.583
Heart ratio	− 0.084
Temperature	− 0.536
White blood cell count	− 0.471
Cough	− 0.997
Fatigue	− 0.228
Lymphocyte count category	− 2.177

C, R, and CR indicate the predicted model based on clinical features, radiological features, and the combination of clinical features and clinical radiological features, respectively

*n means corresponding selected features, and data in parentheses are total features. Coefficients: the estimate value of each feature in multivariate logistic regression model by “glm” package in R