ReTAMamba: Reliability-Aware Temporal Aggregation with Mamba for Irregular Clinical Time Series Prediction

In three linesReTAMamba is a Mamba-based model for predicting irregular clinical time series. It estimates observation reliability from missingness and elapsed time, integrates multi-resolution information via Chronological Weaving, and uses a budgeted token router. On MIMIC-IV, eICU, and PhysioNet 2012, it improves AUPRC by 7.51%, 7.80%, and 10.15% respectively.

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