Figure 1. Conceptual framework used to derive the deep patient representation through unsupervised deep learning of a large EHR data warehouse.

(A) Pre-processing stage to obtain raw patient representations from the EHRs. (B) The raw representations are modeled by the unsupervised deep architecture leading to a set of general and robust features. (C) The deep features are applied to the entire hospital database to derive patient representations that can be applied to a number of clinical tasks.