A Transformer surrogate model approximates a FEMR's predictions, and SHAP-based token attribution on the surrogate identifies clinically validated features as primary drivers.
A multi-center study on the adaptability of a shared foundation model for electronic health records.NPJ Digital Medicine, 7(1):171, 2024
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X-FEMR: A Token-level Explainable Approach for Electronic Health Records Foundation Models using Transformer-based Models
A Transformer surrogate model approximates a FEMR's predictions, and SHAP-based token attribution on the surrogate identifies clinically validated features as primary drivers.