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Authors: M. Hannula 1 ; T. Holma 2 ; E. Löfgren 2 ; H. Hinkula 1 and M. Sorri 2

Affiliations: 1 Oulu University of Applied Sciences, Finland ; 2 University of Oulu, Finland

ISBN: 978-989-8425-84-3

Keyword(s): Acute otitis media, Middle ear, Artificial neural networks.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Computer-Supported Education ; Domain Applications and Case Studies ; Enterprise Information Systems ; Fuzzy Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Industrial, Financial and Medical Applications ; Methodologies and Methods ; Neural Network Software and Applications ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: Evaluation of middle ear effusion is essential in diagnostics of otitis media. In this study a new otitis media diagnostic system based on acoustic reflectometry (AR) was preliminarily evaluated and tested with experimental clinical data on 114 ears of 57 children. In the study the ears of the children were measured with the new AR system and the corresponding ear status was definitively assessed in myringotomy by measuring the amount of effusion in the middle ear. The collected data included successful measurements of 71 normal ears (no effusion in the middle ear) and 43 ears with 0.02-0.37 g of middle ear effusion. In the analysis the correspondence between a neural network analysis of the AR measurement data and the corresponding amount of middle ear effusion was analysed using a leave-one-out validation procedure. The preliminary results were promising; the neural network analysis result and the amount of middle ear effusion correlated statistically significantly (p < 0.001), with correlation coefficient R = 0.37. In future studies more data will be collected to obtain higher correlation in the analysis. (More)

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Paper citation in several formats:
Hannula, M.; Holma, T.; Löfgren, E.; Hinkula, H. and Sorri, M. (2011). PRELIMINARY RESULTS OF CLINICAL TESTS OF A NEW NEURAL-NETWORK-BASED OTITIS MEDIA ANALYSIS SYSTEM.In Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011) ISBN 978-989-8425-84-3, pages 365-368. DOI: 10.5220/0003679703650368

@conference{ncta11,
author={M. Hannula. and T. Holma. and E. Löfgren. and H. Hinkula. and M. Sorri.},
title={PRELIMINARY RESULTS OF CLINICAL TESTS OF A NEW NEURAL-NETWORK-BASED OTITIS MEDIA ANALYSIS SYSTEM},
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011)},
year={2011},
pages={365-368},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003679703650368},
isbn={978-989-8425-84-3},
}

TY - CONF

JO - Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011)
TI - PRELIMINARY RESULTS OF CLINICAL TESTS OF A NEW NEURAL-NETWORK-BASED OTITIS MEDIA ANALYSIS SYSTEM
SN - 978-989-8425-84-3
AU - Hannula, M.
AU - Holma, T.
AU - Löfgren, E.
AU - Hinkula, H.
AU - Sorri, M.
PY - 2011
SP - 365
EP - 368
DO - 10.5220/0003679703650368

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