Figure 1
From: Predicting Alzheimer’s disease progression using multi-modal deep learning approach
An example using longitudinal data for MCI conversion prediction. Contrary to the experiment with baseline visit data, longitudinal data of individuals in all stages (CN, MCI, and AD) was used for training a classifier. Then, portion of longitudinal data was taken to the classifier to predict AD progression after Δt.
