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Learning to Select Source-Traceable Evidence for Language-Model Prediction from Irregular Clinical Time Series
Numerical time-series models effectively process irregular electronic health record (EHR) trajectories, but do not expose which temporal patterns support each prediction as readable evidence. Existing text-based interfaces either serialize observations, preserving source traceability but offering li
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