• DocumentCode
    36545
  • Title

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

  • Author

    Akay, Altug ; Dragomir, Andrei ; Erlandsson, Bjorn-Erik

  • Author_Institution
    Sch. of Technol. & Health, R. Inst. of Technol., Stockholm, Sweden
  • Volume
    19
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan. 2015
  • Firstpage
    389
  • Lastpage
    396
  • Abstract
    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.
  • Keywords
    data analysis; data mining; drugs; medical computing; network analysis; self-organising feature maps; social networking (online); data analysis; data collection; data mining method; diabetes mellitus type 2; drug Sitagliptin; feedback; network analysis; public health; self-organizing maps; social media; user clusters; Biomedical measurement; Data mining; Drugs; Media; Social network services; Vectors; Data mining; network analysis; self-organizing map; social media;
  • fLanguage
    English
  • Journal_Title
    Biomedical and Health Informatics, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    2168-2194
  • Type

    jour

  • DOI
    10.1109/JBHI.2013.2295834
  • Filename
    6691899