IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v1y2016i3idhcseit2172345.html

Diagnosing Cancer using Data Mining : A Critical Review of Techniques

Author

Listed:
  • Qamar Rayees Khan

Abstract

Computer science has revolutionized the whole world by its various application areas. Data mining is one of the sub areas of Computer Science, which extracts hidden information from the data. Data mining is used for diagnosing various diseases. In this paper, a critical review is performed on the various techniques that are used for diagnosing cancer. Various preprocessing techniques are also discussed in this work. Median, Mean and Wiener filtering techniques are also provided as a base for this work.

Suggested Citation

  • Qamar Rayees Khan, 2016. "Diagnosing Cancer using Data Mining : A Critical Review of Techniques," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 1(3), pages 94-103, December.
    • Handle: RePEc:jbh:ijsrcs:v1:y2016:i3:id:hcseit2172345
    Note: Article URL: https://ijsrcseit.com/CSEIT2172345
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT2172345
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/paper/CSEIT2172345.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:jbh:ijsrcs:v1:y2016:i3:id:hcseit2172345. 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://ijsrcseit.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.