Fig. 2From: Learning and visualizing chronic latent representations using electronic health recordsSchematic representation of the proposed workflow. (a) Representation of n patient vectors with their corresponding clinical features (diagnosis and drug codes, with binary values); (b) DAE architecture, and (c) clustering on the LRs and subsequent visualization through two-dimensional projections, both of the clusters and of the patient progressionBack to article page