Journal
COMPUTERS IN BIOLOGY AND MEDICINE
Volume 43, Issue 1, Pages 16-22Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compbiomed.2012.10.003
Keywords
Hearing; Artificial neural networks; Modelling; Chronic suppurative otitis media; Tympanoplasty; Middle ear surgery
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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. (C) 2012 Elsevier Ltd. All rights reserved.
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