mlsanityData to 14 Oct 2026

Understanding Structured Health Data through Interaction-Aware Mixture-of-Experts

arXiv 2607.12255 ↗First posted 14 Jul 2026cs.LGcited by 0

On the map: Mixture-of-experts → Medical and biomedical MoE

Abstract (arXiv)

We study interaction-aware mixture-of-experts for post-stroke rigidity prediction using multi-level views of structured health records. Despite minimal performance gains, routing attribution reveals systematic importance differences across views, underscoring view construction as key to interpretability.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Medical and biomedical MoE, one of 12 directions in Mixture-of-experts. Builds on 20 of its 29 references that are in the map. First posted on arXiv 14 Jul 2026.

Builds on

20 of 29 references.

References · 20

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8 more
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  8. 2025A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Modelscited by 8

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  2. 2026LongMoE: Longitudinal Multimodal Learning via Trajectory-Aware Mixture-of-Experts
  3. 2025Let the Experts Speak: Improving Survival Prediction & Calibration via Mixture-of-Experts Heads
  4. 2025Massively Multimodal Foundation Models: A Framework for Capturing Interactions with Specialized Mixture-of-Experts
  5. 2025Diffmv: A Unified Diffusion Framework for Healthcare Predictions with Random Missing Views and View Laziness
  6. 2026Domain-Expert-Guided Hybrid Mixture-of-Experts for Medical AI: Integrating Data-Driven Learning with Clinical Priors
  7. 2026Trajectory-Aware Clinical Risk Prediction via Severity-Grounded Knowledge Graphs and Retrieval-Augmented Generation
  8. 2026On the Utility and Factual Reliability of Pruned Mixture-of-Experts Models in the Biomedical Domain