کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
505159 864478 2013 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Artificial neural network modelling of the results of tympanoplasty in chronic suppurative otitis media patients
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Artificial neural network modelling of the results of tympanoplasty in chronic suppurative otitis media patients
چکیده انگلیسی

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Biology and Medicine - Volume 43, Issue 1, 1 January 2013, Pages 16–22
نویسندگان
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