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Figure 1: ROC curve for the combined multivariate model (GCS + MAISH + ISS) compared to ROC curve for each subcomponent variable. The three-variable model provides greater predictive value (left, AUC = 0.888) than each of its components in isolation (right)

Figure 1: ROC curve for the combined multivariate model (GCS + MAISH + ISS) compared to ROC curve for each subcomponent variable. The three-variable model provides greater predictive value (left, AUC = 0.888) than each of its components in isolation (right)