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Updated: Jul 17, 2026

Opsono-Adherence Assay to Evaluate Functional Antibodies in Vaccine Development Against Bacillus anthracis and Other Encapsulated Pathogens
Published on: May 19, 2020
Concept negation in free text components of vaccine safety reports
Herman Tolentino1, Michael Matters, Wikke Walop
1Public Health Informatics Fellowship Program, Career Development Division, Office of Workforce and Career Development, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA.
Abstract:
Large amounts of information are locked up in free text components of clinical reports. Surveillance systems that monitor adverse events following immunizations (AEFI) can utilize these components after concept extraction using natural language processing (NLP). Specifically, our method for the identification and filtering of negated concepts using the Unified Medical Language System (UMLS) potentially improves the quality of AEFI surveillance systems.
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