1. Exploring adverse drug reactions of diabetes medicine using social media analytics and interactive visualizations
- Author
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Yedurag Babu, Si Li, Chiahui Yu, and Yichuan Wang
- Subjects
Computer Networks and Communications ,Computer science ,business.industry ,05 social sciences ,02 engineering and technology ,Library and Information Sciences ,Online community ,medicine.disease ,Data science ,Social media analytics ,Data visualization ,020204 information systems ,0502 economics and business ,0202 electrical engineering, electronic engineering, information engineering ,medicine ,Glucophage ,050211 marketing ,Social media ,Drug reaction ,Adverse effect ,business ,Adverse drug reaction ,Information Systems - Abstract
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 (AskaPatient.com) 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 Askapatents.com 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.
- Published
- 2019
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