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Self-Organizing Maps as Data Classifier in Medical Applications

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00191146" target="_blank" >RIV/68407700:21230/11:00191146 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.ncta.ijcci.org" target="_blank" >http://www.ncta.ijcci.org</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Self-Organizing Maps as Data Classifier in Medical Applications

  • Original language description

    Many researchers use mathematical-engineering methods in different domains of life, and medical research is no exception. One area for application of such methods is to assist people with different forms of disabilities. The methods described in the following text are oriented towards the analysis of disordered children's speech with the diagnosis of Specific Language Impairment (SLI), also named as Developmental Dysphasia (DD), and the analysis of the expressive speech. Both methods make use of KohonenSelf-Organizing Maps (KSOM) or Supervised Self-Organizing Maps (SSOM) for the analysis and the classification of features from utterances of healthy and ill children, or adult speakers for emotions analysis. The possibility of cluster visualisation is used for monitoring of disorder trends and therapy success. These experiments also demonstrate the ability of the KSOM or SSOM to classify emotions.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA102%2F09%2F0989" target="_blank" >GA102/09/0989: New innovative methods for high-quality synthesis of Czech speech</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2011

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the International Conference on neural Computation Theory and Applications

  • ISBN

    978-989-8425-84-3

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    422-429

  • Publisher name

    SciTePress

  • Place of publication

    Madeira

  • Event location

    Paris

  • Event date

    Oct 24, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article