A Transformer surrogate model approximates a FEMR's predictions, and SHAP-based token attribution on the surrogate identifies clinically validated features as primary drivers.
Normalized names for clinical drugs: Rxnorm at 6 years.Journal of the American Medical Informatics Association, 18(4):441– 448, 04 2011
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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.