SELF-ORGANIZING MAPS AS DATA CLASSIFIERS IN MEDICAL APPLICATIONS

Jana Tuckova, Marek Bartu, Petr Zetocha, Pavel Grill

2011

Abstract

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 disabili-ties. 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 Dyspha-sia (DD), and the analysis of the expressive speech. Both methods make use of Kohonen Self-Organizing Maps (KSOM) or Supervised Self-Organizing Maps (SSOM) for the analysis and the classification of featu-res 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.

Paper Citation

in Harvard Style

Tuckova J., Bartu M., Zetocha P. and Grill P. (2011). SELF-ORGANIZING MAPS AS DATA CLASSIFIERS IN MEDICAL APPLICATIONS . In Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: Special Session on Challenges in Neuroengineering, (IJCCI 2011) ISBN 978-989-8425-84-3, pages 422-429. DOI: 10.5220/0003722604220429

in Bibtex Style

@conference{special session on challenges in neuroengineering11,
author={Jana Tuckova and Marek Bartu and Petr Zetocha and Pavel Grill},
title={SELF-ORGANIZING MAPS AS DATA CLASSIFIERS IN MEDICAL APPLICATIONS},
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: Special Session on Challenges in Neuroengineering, (IJCCI 2011)},
year={2011},
pages={422-429},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003722604220429},
isbn={978-989-8425-84-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: Special Session on Challenges in Neuroengineering, (IJCCI 2011)
TI - SELF-ORGANIZING MAPS AS DATA CLASSIFIERS IN MEDICAL APPLICATIONS
SN - 978-989-8425-84-3
AU - Tuckova J.
AU - Bartu M.
AU - Zetocha P.
AU - Grill P.
PY - 2011
SP - 422
EP - 429
DO - 10.5220/0003722604220429