New Continual Learning Methods Enhance Small Sample EHR Model Performance Using External Data
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Continual learning methods like elastic weight consolidation and variational continual learning can improve the accuracy of EHR-based models trained on small datasets by borrowing knowledge from external data sources without merging sensitive records.