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Author: Antti Järvelin

Affiliation: University of Tampere, Finland

Keyword(s): Neural networks, classification, aphasia, anomia, naming disorders.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Decision Support Systems ; Enterprise Information Systems ; Expert Systems ; Health Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Symbolic Systems

Abstract: This paper reports a comparison of three neural network models (Multi-Layer Perceptrons, Probabilistic Neural Networks, Self-Organizing Maps) for classifying naming data of aphasic and non-aphasic speakers. The neural network classifiers were tested with the artificial naming data generated from confrontation naming data of 23 aphasic patients and one averaged control subjet. The results show that one node MLP neural network performed best in the classification task, while the two other classifiers performed typically 1 - 2 % worse than the MLP classifier. Although the differences between the different classifier types were small, these results suggests that a simple one node MLP classifier should be preferred over more complex neural network classifiers when classifying naming data of aphasic and non-aphasic speakers.

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Paper citation in several formats:
Järvelin, A. (2008). COMPARISON OF THREE NEURAL NETWORK CLASSIFIERS FOR APHASIC AND NON-APHASIC NAMING DATA. In Proceedings of the First International Conference on Health Informatics (BIOSTEC 2008) - Volume 2: HEALTHINF; ISBN 978-989-8111-16-6; ISSN 2184-4305, SciTePress, pages 186-190. DOI: 10.5220/0001036701860190

@conference{healthinf08,
author={Antti Järvelin.},
title={COMPARISON OF THREE NEURAL NETWORK CLASSIFIERS FOR APHASIC AND NON-APHASIC NAMING DATA},
booktitle={Proceedings of the First International Conference on Health Informatics (BIOSTEC 2008) - Volume 2: HEALTHINF},
year={2008},
pages={186-190},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001036701860190},
isbn={978-989-8111-16-6},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the First International Conference on Health Informatics (BIOSTEC 2008) - Volume 2: HEALTHINF
TI - COMPARISON OF THREE NEURAL NETWORK CLASSIFIERS FOR APHASIC AND NON-APHASIC NAMING DATA
SN - 978-989-8111-16-6
IS - 2184-4305
AU - Järvelin, A.
PY - 2008
SP - 186
EP - 190
DO - 10.5220/0001036701860190
PB - SciTePress

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