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Cadec: A corpus of adverse drug event annotations

Journal of Biomedical InformaticsPublished 5 April 2015
Sarvnaz Karimi, Alejandro Metke‐Jimenez, Madonna Kemp, Chen Wang
Citations277
SJR quartileQ1
SJR score1.26
SNIP1.62

TL;DR

A new rich annotated corpus of medical forum posts on patient-reported Adverse Drug Events (ADEs), which contains text that is largely written in colloquial language and often deviates from formal English grammar and punctuation rules.

Abstract

CSIRO Adverse Drug Event Corpus (Cadec) is a new rich annotated corpus of medical forum posts on patient-reported Adverse Drug Events (ADEs). The corpus is sourced from posts on social media, and contains text that is largely written in colloquial language and often deviates from formal English grammar and punctuation rules. Annotations contain mentions of concepts such as drugs, adverse effects, symptoms, and diseases linked to their corresponding concepts in controlled vocabularies, i.e., SNOMED Clinical Terms and MedDRA. The quality of the annotations is ensured by annotation guidelines, multi-stage annotations, measuring inter-annotator agreement, and final review of the annotations by a clinical terminologist. This corpus is useful for studies in the area of information extraction, or more generally text mining, from social media to detect possible adverse drug reactions from direct patient reports. The corpus is publicly available at https://data.csiro.au.(1).

Keywords

Computer ScienceBiochemistry, Genetics and Molecular BiologyPharmacology, Toxicology and Pharmaceutics