Work

Development of an Adverse Drug Reaction Corpus from Consumer Health Posts

Year: 2017

Type: article

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

Source: Digital Commons - University of South Florida (University of South Florida)

Authors: Maryam Zolnoori, Timothy B. Patrick, Kin Wah Fung, Anthony Faiola, Yi Shuan Shirley Wu, Jiaxi Zhu, Christina Eldredge

Language: English

Topic: Pharmacovigilance and Adverse Drug Reactions

Subfield: Toxicology

Field: Pharmacology, Toxicology and Pharmaceutics

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W2962316010

FWCI: 0.205

Cites: 1

Cited by: 2

Related to: 10