IDEAS home Printed from https://ideas.repec.org/a/vrs/brcebe/v1y2014i1p339-342n50.html
   My bibliography  Save this article

How Useful Can Be Data Mining For A Continuos Speech Therapist’s Education?

Author

Listed:
  • Danubianu Mirela

    (“Stefan cel Mare” University of Suceava)

  • Danubianu Dragos Mircea

    (“Stefan cel Mare” University of Suceava)

Abstract

Speech therapy can be viewed as a business in logopaedic area that aims to offer services for correcting language. A proper treatment of speech impairments ensures improved efficiency of therapy, so, in order to do that, a therapist must continuously learn how to adjust its therapy methods to patient's characteristics. Using Information and Communication Technology in this area allowed collecting a lot of data regarding various aspects of treatment. These data can be used for a data mining process in order to find useful and usable patterns and models which help therapists to improve its specific education. Clustering, classification or association rules can provide unexpected information which help to complete therapist's knowledge and to adapt the therapy to patient's needs.

Suggested Citation

  • Danubianu Mirela & Danubianu Dragos Mircea, 2014. "How Useful Can Be Data Mining For A Continuos Speech Therapist’s Education?," Balkan Region Conference on Engineering and Business Education, Sciendo, vol. 1(1), pages 339-342, August.
    • Handle: RePEc:vrs:brcebe:v:1:y:2014:i:1:p:339-342:n:50
    DOI: 10.2478/cplbu-2014-0050
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/cplbu-2014-0050
    Download Restriction: no
    File URL: https://libkey.io/10.2478/cplbu-2014-0050?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    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:vrs:brcebe:v:1:y:2014:i:1:p:339-342:n:50. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.