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A Novel Data-Mining Platform to Monitor the Outcomes of Erlontinib (Tarceva) Using Social Media

  • A. Akay
  • A. Dragomir
  • B. E. Erlandsson
Part of the IFMBE Proceedings book series (IFMBE, volume 41)

Abstract

A novel data-mining method was developed to gauge the experiences of the oncology drug Tarceva. Self-organizing maps were used to analyze forum posts numerically to infer user opinion of drug Tarceva. The result is a word list compilation correlating positive and negative word cluster groups and a web of influential users on Tarceva. The implica-tions could open new research avenues into rapid data collec-tion, feedback, and analysis that would enable improved solu-tions for public health.

Keywords

Social Media Self-Organizing Map Data-Mining TF-IDF Graph 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • A. Akay
    • 1
  • A. Dragomir
    • 2
  • B. E. Erlandsson
    • 1
  1. 1.School of Technology and Health/IEEE MemberSwedish Royal Institute of TechnologyHuddingeSweden
  2. 2.Department of Biomedical Engineering/IEEEUniversity of HoustonHoustonUSA

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