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Sagan

Paper

Causal Longitudinal Prior-Fitted Networks for Counterfactual Outcome Prediction

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AI summary

arXiv:2606. 05797v1 Announce Type: cross Abstract: Longitudinal treatment decisions require predicting potential outcomes under future treatment sequences in the presence of time-varying confounding, heterogeneous patient dynamics, and limited domain-specific data.