Title of article - Empirical estimation of the grades of hearing impairment among industrial workers based on new artificial neural networks and classical regression methods.
Abstract
Prediction models are used in a variety of medical domains, and they are frequently built from experience which constitutes data acquired from actual cases. This study aimed to analyze the potential of artificial neural networks and logistic regression techniques for estimation of hearing impairment among industrial workers.
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Department of Biostatistics, School of Public Health, Hamadan University of Medical Science, Hamadan, Iran.
Details of Journal for Empirical estimation of the grades of hearing impairment among industrial workers based on new artificial neural networks and classical regression methods.
Journal Title - Indian journal of occupational and environmental medicine
ISSN - 0973-2284
Volume - 19
Issue - 2
Publish date - -
Language - eng
Country - India
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