IDEAS home Printed from https://ideas.repec.org/a/ijs/ijsrse/v2y2016i2idhijsrset16225.html

Ranking and Quick Access of Information Hybrid Content Based and Hmm in Health Care Social Media

Author

Listed:
  • S. Sudhakarilango
  • V. Hemalatha

Abstract

Internet has become a media of communication. Web 2.0 increases its’ impact and make it as social media where people can share all the information. Using this people is forming a group, forum for discussion etc. This discussion group becomes a vital source of information. This forum discussion is available for all fields like medical, computer science, engineering and technology. Since millions and millions of people is using net as forum information evolved over a net is huge and decision making based on these huge information is also complex task. Hadoop framework provides a solution for this big data analysis. As a research work, forum of health care community is selected. In the forum, patients can post quires, share therapy followed, prescription prescribed. To make this forum more beneficial for beneficiary, the comments posted are ranked. For accurate ranking and quick access of information Content Based Mining along with hidden markov model (HMM) is used.

Suggested Citation

  • S. Sudhakarilango & V. Hemalatha, 2016. "Ranking and Quick Access of Information Hybrid Content Based and Hmm in Health Care Social Media," International Journal of Scientific Research in Science, Engineering and Technology, International Journal of Scientific Research in Science, Engineering and Technology, vol. 2(2), pages 477-481, December.
    • Handle: RePEc:ijs:ijsrse:v2:y2016:i2:id:hijsrset16225
    Note: Article URL: https://ijsrset.com/IJSRSET16225
    as

    Download full text from publisher

    File URL: https://ijsrset.com/IJSRSET16225
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrset.com/paper/1081.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ijs:ijsrse:v2:y2016:i2:id:hijsrset16225. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (email available below). General contact details of provider: https://ijsrset.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.