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Fig. 3 | Alzheimer's Research & Therapy

Fig. 3

From: Model-based stratification of progression along the Alzheimer disease continuum highlights the centrality of biomarker synergies

Fig. 3

Parameter Efficient Net (PENet) for progression phenotype prediction and its performance. A Model architecture and layers of the PENet used here for predicting the rate of decline observed in individuals along the AD continuum (MD vs. FD). B Performance comparison of the PENet model with SVM (with Radial Basis Function kernel) for predicting progression along the AD continuum using (N) biomarkers shows PENet’s superiority. C Receiver operating characteristics (ROC) curve showing the performance of PENet using different combinations of A, T, and N biomarkers. D Performance metrics for the PENet show the effect of using different combinations of AT(N) biomarkers on prediction accuracy. The model’s performance progressively improved as A and T biomarkers were added to N; however, the addition of the A biomarker had no effect relative to a model based on N biomarkers alone

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Alzheimer's Research & Therapy

ISSN: 1758-9193