Fig. 4

Informatic analysis of mild, severe and critical patients with COVID-19. a. Spearman correlation demonstrating the correlation coefficient between different features with three patient categories. Feature ‘Severity’ indicated three patient categories. The maximum values from each individual during the entire hospitalization were used in this analysis. The number in the upper half indicates the correlation value between two indices. The diagonal histograms indicate the distribution of each index. The lower half shows the scatter distribution between two indices. b-c. Histograms demonstrating the distribution of PT (b) and D-dimer (c) within three patient categories. The abscissa represents the current feature value, and the ordinate represents the probability with the current feature value. The blue bar is the histogram of all samples, indicating the distribution of data, where the three fitting curves are black, purple, and red, corresponding to the three patient categories, mild, severe, and critical, respectively. d. Importance histogram of random forest model results with dotted lines indicating the 90% importance of the model. The blue bars indicate the rate of importance, the red curve indicates the cumulative importance, and the black dashed line divides the top indices when the cumulative importance reaches 90% (red dashed line). *, **, and *** indicate P < 0.05, P < 0.01, and P < 0.001, respectively, for Spearman correlation significance