Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6928263 | Journal of Biomedical Informatics | 2015 | 11 Pages |
Abstract
Our review suggests that interest in the utilization of the vast amounts of available social media data for ADR monitoring is increasing. In terms of sources, both health-related and general social media data have been used for ADR detection-while health-related sources tend to contain higher proportions of relevant data, the volume of data from general social media websites is significantly higher. There is still very limited amount of annotated data publicly available , and, as indicated by the promising results obtained by recent supervised learning approaches, there is a strong need to make such data available to the research community.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Abeed Sarker, Rachel Ginn, Azadeh Nikfarjam, Karen O'Connor, Karen Smith, Swetha Jayaraman, Tejaswi Upadhaya, Graciela Gonzalez,