NDLI: Comparison of feature selection strategies for hearing impairments diagnostics

Content Provider	IEEE Xplore Digital Library
Author	Skrypnyk, I.
Copyright Year	2002
Description	Author affiliation: Dept. of Comput. Sci. & Inf. Syst., Jyvaskyla Univ., Finland (Skrypnyk, I.)
Abstract	Diagnostics of hearing impairments is a non-trivial problem for data mining techniques. The state of hearing can be described via a measurement of polymorphic disorders in the voice structure that are secondary to restricted auditory control. The diagnostic voice analysis determines voice descriptors that can be used for marginal estimation of the state of hearing. This problem is hard for most of the predictive data mining methods. The presence of strongly correlated and redundant information in the set of voice descriptors might be one reason for the low prediction accuracy. In this paper, different feature selection techniques are evaluated by their ability to raise the prediction accuracy by discarding irrelevant and redundant voice descriptors when modeling the dependency between functional changes within a phonatory organ and restricted auditory control. As the result of the prediction varies for different prediction methods, the applicability of certain feature selection technique is considered with respect to the prediction method and evaluated as a feature selection strategy.
Sponsorship	IEEE Comput. Soc. Tech. Committee on Comput. Med. Univ. Maribor, Faculty of Electr. Eng. & Comput. Sci
Starting Page	231
Ending Page	236
File Size	353346
Page Count	6
File Format	PDF
ISBN	0769516149
ISSN	10637125
DOI	10.1109/CBMS.2002.1011382
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-06-04
Publisher Place	Slovenia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Auditory system Classification algorithms Data mining Accuracy State estimation Prediction methods Computer science Information systems Electronic mail Speech analysis
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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