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Yi-Xuan Yang

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#machine learning Preprint Sep 2026

Intervention Granularity Matters: Coherent Treatment Bundles in Counterfactual Simulation with Clinical World Models

Counterfactual simulation with a clinical world model means fixing a patient's history, changing the treatment, and reading off the predicted response. Doing so requires deciding what counts as one intervention. In clinical settings, interventions are documented as bundles: a co-occurrence audit of 945,707 patient-hour...

Fang Wang, Yi-Xuan Yang, Camilla Balzarotti et al. · 0 citations

Clin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient Trajectories

Clin-JEPA is presented, a five-phase curriculum that stably co-trains an LLM encoder with a latent trajectory predictor on MIMIC-IV, outperforming strong per-task tuned baselines and a pretrained EHR foundation model.

Yi-Xuan Yang, Mehak Arora, Ryan Zhang et al. · 3 citations

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