Improving Hearing Aids detection using Boosted J48 HTM Cortical Learning Algorithm

Authors

  • Dr. Faris Ali Jasim Shaban

Abstract

There are different types of hearing aid  suggested by otolaryngologist which includes Invisible-in-the-canal, Completely-in-the-canal, Behind-the-ear(BTE), In-the-ear(ITE) and in-the-canal. Treatment taken from otolaryngologist is mostly time inefficient and costly.  However with the advancement in deep learning now it is possible to predict the desired treatment for hearing aids. Patients clinical data contains all information about patient specially their age, audiogram, gender, their disease and diagnosis of that disease that is clinical report of that patient. In this research J48 decision tree algorithm is used and it is improved by Boosted J48 HTM Cortical algorithm. Deep learning mainly compromises of reducing the mean absolute error of forecasting. Problem with J48 with bagging is time complexity, as it involves formation of many classification trees. The proposed algorithm reduces the set of rules which is used for classification model, to improve time complexity. Performance analysis shows an significant improvement in results as compare to other deep learning algorithm as well as Decision tree algorithms.

Published

2020-02-29

Issue

Section

Articles