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Causal neural networks (NNs), including TARNet and Dragonnet, learn by sharing input data to estimate both factual and counterfactual outcomes. This approach is currently an active area of research [17-19]. Dragonnet also uses “learned data” to predict propensity scores by tradeoff with prediction quality, which yields better average treatment effect (ATE) estimates [18].
JMIR Cardio 2025;9:e50627
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