Real-Time Forecast of Influenza Outbreak Using Dynamic Network Marker Based on Minimum Spanning Tree

Figure 6

The performance of the MST-DNM method in different critical status determination strategies, that is, logistic regression and 2-fold change threshold. It can be seen that the MST-DNM method based on logistic regression is better than that based on 2-fold change threshold. The AUC of MST-DNM with logistic regression is 0.8986 while that of MST-DNM with 2-fold change threshold is 0.7391.