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CURE: A deep learning framework pre-trained on large-scale patient data for treatment effect estimation

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Treatment effect estimation (TEE) aims to identify the causal effects of treatments on important outcomes. Current machine-learning-based methods, mainly trained on labeled data for specific treatments or outcomes, can be sub-optimal with limited labeled data.... ...