Figure 3. The diagnostic algorithm chart showing the case proportions formed by clinical and diagnostic combinations with data from Mubende regional referral hospital, AUC is the area under the curve, PP = predicted probability of being TB case, TS = total number of true TB cases in each covariate pattern based on the gold standard, N = the total number of individual in a specific covariate pattern (sub-population formed by combining clinical factors), TCC = total number of TB-cases accurately classified my the model.
The adjusted case predictions are made at a probability cut off P = 0.199 as established in figure 3, the broken lines shows pathways that are most likely to increase numbers of false positive cases.