article

Artificial neural network modelling of the results of tympanoplasty in chronic suppurative otitis media patients

Authors:

Joanna Szaleniec,

Maciej Szaleniec,

Jacek SkłAdzień,

Ryszard TadeusiewiczAuthors Info & Claims

Computers in Biology and Medicine, Volume 43, Issue 1

Pages 16 - 22

https://doi.org/10.1016/j.compbiomed.2012.10.003

Published: 01 January 2013 Publication History

Abstract

The application of computer modelling for medical purposes, although challenging, is a promising pathway for further development in the medical sciences. We present predictive neural and k-nearest neighbour (k-NN) models for hearing improvements after middle ear surgery for chronic otitis media. The studied data set comprised 150 patients characterised by the set of input variables: age, gender, preoperative audiometric results, ear pathology and details of the surgical procedure. The predicted (output) variable was the postoperative hearing threshold. The best neural models developed in this study achieved 84% correct predictions for the test data set while the k-NN model produced only 75.8% correct predictions.

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Cited By

Cooper JWei LFernandez SMinneci PDeans K(2015)Pre-operative prediction of surgical morbidity in childrenComputers in Biology and Medicine10.1016/j.compbiomed.2014.11.00957:C(54-65)Online publication date: 1-Feb-2015
https://dl.acm.org/doi/10.1016/j.compbiomed.2014.11.009
Izad Shenas SRaahemi BHossein Tekieh MKuziemsky C(2014)Identifying high-cost patients using data mining techniques and a small set of non-trivial attributesComputers in Biology and Medicine10.1016/j.compbiomed.2014.07.00553:C(9-18)Online publication date: 1-Sep-2014
https://dl.acm.org/doi/10.1016/j.compbiomed.2014.07.005

Artificial neural network modelling of the results of tympanoplasty in chronic suppurative otitis media patients
1. Applied computing
  1. Life and medical sciences
  2. Operations research
2. Computing methodologies
  1. Machine learning
    1. Machine learning approaches
  2. Modeling and simulation

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Published In

cover image Computers in Biology and Medicine

Computers in Biology and Medicine Volume 43, Issue 1

January, 2013

73 pages

ISSN:0010-4825

Issue’s Table of Contents

Copyright © Elsevier Ltd © 2012.

Publisher

Pergamon Press, Inc.

United States

Publication History

Published: 01 January 2013

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Cited By

Cooper JWei LFernandez SMinneci PDeans K(2015)Pre-operative prediction of surgical morbidity in childrenComputers in Biology and Medicine10.1016/j.compbiomed.2014.11.00957:C(54-65)Online publication date: 1-Feb-2015
https://dl.acm.org/doi/10.1016/j.compbiomed.2014.11.009
Izad Shenas SRaahemi BHossein Tekieh MKuziemsky C(2014)Identifying high-cost patients using data mining techniques and a small set of non-trivial attributesComputers in Biology and Medicine10.1016/j.compbiomed.2014.07.00553:C(9-18)Online publication date: 1-Sep-2014
https://dl.acm.org/doi/10.1016/j.compbiomed.2014.07.005

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