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Fig. 2 | BMC Infectious Diseases

Fig. 2

From: The performance of VCS(volume, conductivity, light scatter) parameters in distinguishing latent tuberculosis and active tuberculosis by using machine learning algorithm

Fig. 2

Performance of 46 features about blood routine indicators and the VCS parameters in differentiating ATB patients from LTBI individuals. A ROC curves showing the diagnostic performance of 46 features in discriminating between ATB and LTBI. Curves in the upper indicated that the levels of these indicators are higher in ATB group than in LTBI group. Curves in the bottom indicated that the levels of these indicators are lower in ATB group than in LTBI group. B Bar graphs showing the AUC of various indicators in discriminating ATB patients from LTBI individuals.The red parts represent area under the ROC curve(AUC) when group ATB as the state variable to plot the ROC curve and the red parts represent area under the ROC curve(AUC) when group LTBI as the state variable to plot the ROC curve. ATB, active tuberculosis; LTBI, latent tuberculosis infection; ROC, receiver operator characteristics; AUC, area under the ROC curve

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