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Schematic of the Deep Propensity Network using a Sparse Autoencoder (DPN-SA) framework. The DPN-SA module performs dimensionality reduction of the input through a latent variable space and then provides propensity scores to the Deep Counterfactual Network with Propensity Dropout (DCN-PD) that calculates the potential outcomes for treatment exposures vs controls.
