• DocumentCode
    2406348
  • Title

    Social media analysis for e-health and medical purposes

  • Author

    Wegrzyn-Wolska, Katarzyna ; Bougueroua, Lamine ; Dziczkowski, Grzegorz

  • Author_Institution
    ESIGETEL, Fontainebleau-Avon, France
  • fYear
    2011
  • fDate
    19-21 Oct. 2011
  • Firstpage
    278
  • Lastpage
    283
  • Abstract
    The quantity of medical publications in the media such a tweets, blogs, and another content in social media is growing at an exponential rate. Exploring and analyzing this content has become a necessity. The objective of this paper is to discuss the variety of issues and challenges surrounding the perspectives regarding the use of Social Network Analyses and Text Mining methods for applications in E health and medecine. The article will first look at the directions taken in Social Media and Text Mining for medical science. First we present a review of the literature in Social Media and Text Mining analysis for medical purposes and then describe the work done for our prediction system for collecting and manipulating and Twitter data.
  • Keywords
    data mining; medical information systems; medicine; social networking (online); text analysis; blog; e-health; exponential rate; medecine; medical publication; medical purpose; medical science; social media analysis; social network analysis; text mining; tweets; Biomedical imaging; Data mining; Media; Training; Twitter; Vectors; Data Mining; Social Media; Social Network Analysis; Text Mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Aspects of Social Networks (CASoN), 2011 International Conference on
  • Conference_Location
    Salamanca
  • Print_ISBN
    978-1-4577-1132-9
  • Type

    conf

  • DOI
    10.1109/CASON.2011.6085958
  • Filename
    6085958