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.
Human Vaccines & Immunotherapeutics 18(6), 2100173 (2022)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
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.