Fig. 3
From: Construction of a risk prediction model for Alzheimer’s disease in the elderly population
ROC curve validation of risk prediction nomogram for AD in the elderly. a Training set: optimal threshold: 0.505; corresponding specificity and sensitivity: 0.763, 0.746; b Validation set: optimal threshold: 0.505; corresponding specificity and sensitivity: 0.749, 0.732. The black bold line represents the performance of the nomogram in the training set and validation set. The y-axis represents the true positive rate of risk prediction, and the x-axis represents the false positive rate of risk prediction