A novel data-mining platform leveraging social media to monitor outcomes of Januvia
2013 (English)In: Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE, IEEE conference proceedings, 2013, 7484-7487 p.Conference paper (Refereed)
A novel data-mining method was developed to gauge the experiences of the diabetes mellitus drug Januvia. Self-organizing maps were used to analyze forum posts numerically to infer user opinion of drug Januvia. Graph theory was used to discover influential users. The result is a word list compilation correlating positive and negative word cluster groups and a web of influential users on Januvia. The implications could open new research avenues into rapid data collection, feedback, and analysis that would enable improved solutions for public health.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2013. 7484-7487 p.
Algorithms, Blocking probability, Control systems, Bandwidth blocking probabilities, Elastic optical networks, Enabling technologies, Flexible Spectrum, Routing and spectrum allocations, Scalable infrastructure, Shared Path Protection, Survivability
Other Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-138289DOI: 10.1109/EMBC.2013.6611289ISI: 000341702107214PubMedID: 24111476ScopusID: 2-s2.0-84886576338OAI: oai:DiVA.org:kth-138289DiVA: diva2:680723
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE,3-7 July 2013, Osaka, Japan
QC 201401072013-12-182013-12-182014-10-27Bibliographically approved