Fig. 1
From: Machine learning approaches for predicting high cost high need patient expenditures in health care
Schematic diagram of the deployed RNN model. The whole process consists of several steps. Step 1: Input variables are embedded; Step 2: A RNN with single gated recurrent unit (GRU) layer is used to generate attention from the sequential embeddings; Step 3: Attentions and embeddings are summed to make the context vector. The context vector is later transformed to output