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Selected Works of Christina Eldredge, MD, PhD
Presentation
Development of an Adverse Drug Reaction Corpus from Consumer Health Posts
SMM4H 2017 Social Media Mining for Health Research and Applications
  • Maryam Zolnoori, University of Wisconsin
  • Timothy B Patrick, University of Wisconsin
  • Kin Wah Fung, National Library of Medicine
  • Anthony Faiola, University of Illinois
  • Yi Shuan Shirley Wu, University of Pittsburgh
  • Jiaxi Zhu, Emmes Corporation
  • Christina Eldredge, University of South Florida
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Document Type
Presentation
Publication Date
11-1-2017
Disciplines
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

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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/

Citation Information
Maryam Zolnoori, Timothy B Patrick, Kin Wah Fung, Anthony Faiola, et al.. "Development of an Adverse Drug Reaction Corpus from Consumer Health Posts" SMM4H 2017 Social Media Mining for Health Research and Applications Vol. 1996 (2017) p. 19 - 26
Available at: http://works.bepress.com/christina-eldredge/11/