Risk Horizons: Structured Hypothesis Spaces for Longitudinal Clinical Prediction

ArXi:2602.12828v2 Announce Type: replace Predicting future clinical events from longitudinal electronic health records (EHRs) requires selecting plausible outcomes from a large and structured event space under sparse observations. While clinical coding systems provide hierarchical organization of events, cross-modal and temporal relationships are not explicitly specified and must instead be inferred from data, making prediction difficult for weakly observed longitudinal transitions. We