An active-learning pipeline with counterfactual data augmentation achieved F1 0.97 for detecting potential vaccine adverse events in emergency triage notes, but the evaluation was not independent of model training.
Expert Opinion on Drug Safety 22(8), 659–668 (2023)
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Actively evaluating and learning the distinctions that matter: Vaccine safety signal detection from emergency triage notes
An active-learning pipeline with counterfactual data augmentation achieved F1 0.97 for detecting potential vaccine adverse events in emergency triage notes, but the evaluation was not independent of model training.