Generation of an annotated reference standard for vaccine adverse event reports

• Published in: Vaccine Vol. 36; no. 29; pp. 4325 - 4330
• Main Authors: Foster, Matthew, Pandey, Abhishek, Kreimeyer, Kory, Botsis, Taxiarchis
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Ltd 05.07.2018; Elsevier Limited
• Subjects: Adjudication; Adverse Drug Reaction Reporting Systems - standards; Agreements; Annotation; Annotations; Centers for Disease Control and Prevention (U.S.); Corpus; Disease control; Humans; Natural language processing; NLP; Quality assessment; Quality control; Reference Standards; Regulatory agencies; Researchers; Surveillance; Temporal variations; United States; United States Food and Drug Administration; Vaccines; Vaccines - adverse effects; VAERS; United States > US; VAERS; NLP; Reference; Annotation; Corpus

As part of a collaborative project between the US Food and Drug Administration (FDA) and the Centers for Disease Control and Prevention for the development of a web-based natural language processing (NLP) workbench, we created a corpus of 1000 Vaccine Adverse Event Reporting System (VAERS) reports a...