A Novel Data-Mining Approach Leveraging Social Media to Monitor Consumer Opinion of Sitagliptin

作者:Akay Altug*; Dragomir Andrei; Erlandsson Bjorn Erik
来源:IEEE Journal of Biomedical and Health Informatics, 2015, 19(1): 389-396.
DOI:10.1109/JBHI.2013.2295834

摘要

A novel data mining method was developed to gauge the experience of the drug Sitagliptin (trade name Januvia) by patients with diabetes mellitus type 2. To this goal, we devised a two-step analysis framework. Initial exploratory analysis using self-organizing maps was performed to determine structures based on user opinions among the forum posts. The results were a compilation of user's clusters and their correlated (positive or negative) opinion of the drug. Subsequent modeling using network analysis methods was used to determine influential users among the forum members. These findings can open new avenues of research into rapid data collection, feedback, and analysis that can enable improved outcomes and solutions for public health and important feedback for the manufacturer.

  • 出版日期2015-1