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Exploring adverse drug reactions of diabetes medicine using social media analytics and interactive visualizations

Lookup NU author(s): Dr YiChuan Wang


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© 2018 The aim of this study is to propose an automatic and real-time social media analytics framework with interactive data visualizations to support effective exploration of knowledge about adverse drug reaction (ADR) surveillance. This proposed framework has been prototypically implemented on the basis of social media data. A longitudinal diabetes patient online community data ( as well as FDA Adverse Event Reporting Systems (FAERS) data as a benchmark were used to evaluate our proposed approach's performance. Based on the results, our approach significantly increases the precision and accuracy for ADR extraction. The number of ADR cases, the time when the ADRs occurred, and the rating of Glucophage have been visualized that resulted by mining a collection of 870 ADRs posted in over a certain time period (from 2001 to 2015). The results have important implications for pharmaceutical companies and hospitals wishing to monitor ADRs of medicines.

Publication metadata

Author(s): Li S, Yu C-H, Wang Y, Babu Y

Publication type: Article

Publication status: Published

Journal: International Journal of Information Management

Year: 2019

Pages: Epub ahead of print

Online publication date: 23/01/2019

Acceptance date: 18/12/2018

ISSN (print): 0268-4012

ISSN (electronic): 1873-4707

Publisher: Pergamon Press


DOI: 10.1016/j.ijinfomgt.2018.12.007


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