A Novel Data-Mining Approach Leveraging Social Media to Monitor Consumer Opinion of Sitagliptin
2015 (English)In: IEEE journal of biomedical and health informatics, ISSN 2168-2194, E-ISSN 2168-2208, Vol. 19, no 1, 389-396 p.Article in journal (Refereed) Published
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.
Place, publisher, year, edition, pages
2015. Vol. 19, no 1, 389-396 p.
Data mining, network analysis, self-organizing map, social media
Other Electrical Engineering, Electronic Engineering, Information Engineering Information Systems
IdentifiersURN: urn:nbn:se:kth:diva-159234DOI: 10.1109/JBHI.2013.2295834ISI: 000347342300046ScopusID: 2-s2.0-84920903503OAI: oai:DiVA.org:kth-159234DiVA: diva2:783622
QC 201501282015-01-262015-01-262015-02-09Bibliographically approved