A Transformer surrogate model approximates a FEMR's predictions, and SHAP-based token attribution on the surrogate identifies clinically validated features as primary drivers.
Med-BERT: pretrained contextual- ized embeddings on large-scale structured electronic health records for disease prediction.npj Digital Medicine, 4(1):86, May 2021
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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.