Development of an Adverse Drug Reaction Corpus from Consumer Health Posts.

Zolnoori M, Patrick TB, Fung KW, Fontelo P, Faiola A, Wu YSS, Xu K, Zhu J, Eldredge CE

Workshop: American Medical Informatics Association, Annual Symposium, 2017.

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Abstract:

UWM-Adverse Drug Events Corpus (UWM-ADEC) is an annotated corpus that has been developed from consumer drug review posts in social media. In this corpus, we identified four types of Adverse Drug Reactions (ADRs) including physiological, psychological, cognitive, and functional problems. Additionally, we mapped the ADRs to corresponding concepts in Unified medical language Systems (UMLS). The quality of the corpus was measured using well-defined guidelines, double coding, high inter-annotator agreement, and final reviews by pharmacists and clinical terminologists. This corpus is a valuable source for research in the area of text mining and machine learning for ADRs identifications from consumer health posts, specifically for psychiatric medications.

Zolnoori M, Patrick TB, Fung KW, Fontelo P, Faiola A, Wu YSS, Xu K, Zhu J, Eldredge CE. Development of an Adverse Drug Reaction Corpus from Consumer Health Posts. 
Workshop: American Medical Informatics Association, Annual Symposium, 2017.

URL: https://www.researchgate.net/publication/330158415_Development_of_an_Adverse_Drug_Reaction_Corpus_from_Consumer_Health_Posts_for_Psychiatric_Medications