• DocumentCode
    2050939
  • Title

    Automatic medical disease treatment system using datamining

  • Author

    Thangamani, M. ; Thangaraj, Pravin ; Bannari

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Kongu Eng. Coll., Erode, India
  • fYear
    2013
  • fDate
    21-22 Feb. 2013
  • Firstpage
    120
  • Lastpage
    125
  • Abstract
    In our proposed system is identifying reliable information in the medical domain stand as building blocks for a healthcare system that is up-to-date with the latest discoveries. By using the tools such as NLP, ML techniques. In this research, focus on diseases and treatment information, and the relation that exists between these two entities. The main goal of this research is to identify the disease name with the symptoms specified and extract the sentence from the article and get the Relation that exists between Disease-Treatment and classify the information into cure, prevent, side effect to the user.This electronic document is a “live” template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document.
  • Keywords
    data mining; diseases; health care; medical computing; natural language processing; patient treatment; ML techniques; NLP; automatic medical disease treatment system; data mining; electronic document; healthcare system; live template; medical domain stand; Abstracts; Databases; Diseases; Medical diagnostic imaging; Pain; Semantics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Communication and Embedded Systems (ICICES), 2013 International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4673-5786-9
  • Type

    conf

  • DOI
    10.1109/ICICES.2013.6508215
  • Filename
    6508215