A review proposing a unified framework for intervention-aware disease trajectory modeling in clinical AI, organized around three decision tasks and three data-generating mechanisms.
Causal contrastive learning for counterfactual regression over time.Advances in Neural Information Processing Systems, 37:1333–1369, 2024
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From Static Risk to Dynamic Trajectories: Toward World-Model-Inspired Clinical Prediction
A review proposing a unified framework for intervention-aware disease trajectory modeling in clinical AI, organized around three decision tasks and three data-generating mechanisms.