Document Type
Presentation
Publication Date
11-2017
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
Rights Information
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
SMM4H 2017 Social Media Mining for Health Research and Applications, v. 1996, p. 19-26
The final authenticated version is available online at: http://ceur-ws.org/Vol-1996/
Scholar Commons Citation
Zolnoori, Maryam; Patrick, Timothy B.; Fung, Kin Wah; Faiola, Anthony; Wu, Yi Shuan Shirley; Zhu, Jiaxi; and Eldredge, Christina, "Development of an Adverse Drug Reaction Corpus from Consumer Health Posts" (2017). School of Information Faculty Publications. 444.
https://digitalcommons.usf.edu/si_facpub/444
