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National Yang Ming Chiao Tung University
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Branching motifs in EHRs offer structured trajectory context that primarily enhances long-range temporal forecasting, rather than uniformly improving endpoint discrimination or survival prediction.
Novel disease trajectories discovered from EHRs can be effectively prioritized using a two-level semantic sparsity and reliability framework, leading to significant improvements in clinical forecasting accuracy.