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Multimodal Routing for Interpretable, Robust, and Auditable Clinical Prediction

Hooman, Nikkie et al.
arXiv (All) · Papers
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machine-learning
Electronic health record (EHR) data are inherently multimodal, and leveraging multiple modalities can improve predictive performance. However, most existing approaches rely on deep fusion, which obscures how individual modalities contribute to predictions and limits the interpretability of multimoda
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