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The LSTM network for predicting exacerbations. Time-stamped event variables x 1 … x n are represented by formulating a sequence of vectors, with each vector representing the events at a given time-stamp x 1,t ... x n,t. Diagnoses and interventions are embedded into dense, lower-dimensional vectors. The static demographic variables x n+1 … x m feed directly into the output layer of the network.
