A Transformer surrogate model approximates a FEMR's predictions, and SHAP-based token attribution on the surrogate identifies clinically validated features as primary drivers.
Comparison of Measures to Predict Mortality and Length of Stay in Hospitalized Pa- tients.Nursing Research, 68(3):200–209, May 2019
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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.