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A novel data-mining platform leveraging social media to monitor outcomes of Januvia
KTH, School of Technology and Health (STH), Health Systems Engineering, Systems Safety and Management.
KTH, School of Technology and Health (STH), Health Systems Engineering, Systems Safety and Management.ORCID iD: 0000-0002-1929-135X
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, Published paper (Refereed)
Abstract [en]

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.
Keyword [en]
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
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-138289DOI: 10.1109/EMBC.2013.6611289ISI: 000341702107214PubMedID: 24111476Scopus ID: 2-s2.0-84886576338OAI: oai:DiVA.org:kth-138289DiVA: diva2:680723
Conference
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE,3-7 July 2013, Osaka, Japan
Note

QC 20140107

Available from: 2013-12-18 Created: 2013-12-18 Last updated: 2014-10-27Bibliographically approved

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Erlandsson, Björn-Erik

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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