a b s t r a c t 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, multistage 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 CSIRO Adverse Drug Event Corpus (CADEC) dataset collected by REF became a de facto standard for the extraction of health-related entities such as ADRs from user reviews.
Cadec: A corpus of adverse drug event annotations
Journal of biomedical informatics
Journal of biomedical informatics
Computer Science Medicine